Interpolations - Algebra 2
Card 1 of 24
Given the two following points, use interpolation to determine the best estimate for the value 
, 
Given the two following points, use interpolation to determine the best estimate for the value
Tap to reveal answer
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where 
is our first given point, 
is our second given point, and 
is the point we want to find. We know our two given points, as well as the x value of our unknown point, so now all we must do is plug in all of our known values and solve for y, our only unknown:
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where
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The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if 
workers are present.
The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if
Tap to reveal answer
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
,
where 
and 
are the points we want to find and 
and 
are known. We choose the known points to be those that are just to the left and right of the point we are trying to find,
and 
.
Plugging these into our interpolation formula and knowing 
, we can find 
, the units output per day.
.
Simplifying and rearranging to solve for 
:
.
So there are 
units produced when the number of workers is 
.
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
where
Plugging these into our interpolation formula and knowing
Simplifying and rearranging to solve for
So there are
← Didn't Know|Knew It →
Given the points
and 
, use linear interpolation to find the value of 
when 
.
Given the points
Tap to reveal answer
Use the formula for interpolation to determine the value of y:
We will use (30, 51) as our x2 and y2 and (20, 36) as our x1 and y1 and we will solve for y using 26.5 for x.
Use the formula for interpolation to determine the value of y:
We will use (30, 51) as our x2 and y2 and (20, 36) as our x1 and y1 and we will solve for y using 26.5 for x.
← Didn't Know|Knew It →
Given 
and 
use linear interpolation to find 
when 
.
Given
Tap to reveal answer
Use the formula for interpolation:
We will use (30, 15) as x2 and y2, (15, 10) as x1 and y1, and solve for y when x=17.9:
Use the formula for interpolation:
We will use (30, 15) as x2 and y2, (15, 10) as x1 and y1, and solve for y when x=17.9:
← Didn't Know|Knew It →
Mary measures her height every year on her birthday, starting at 11 until she turns 16. She wants to make a table with all the information gathered, but discovers she lost the piece of paper on which she wrote her height down on her 14th birthday. Her incomplete table looks like this:
Age (years) Height (inches) 11 47.5 12 50.25 13 53 14 ? 15 58.5 16 61.25
Using the method of linear interpolation, which of the following is the closest estimate of Mary's height on her 14th birthday?
Mary measures her height every year on her birthday, starting at 11 until she turns 16. She wants to make a table with all the information gathered, but discovers she lost the piece of paper on which she wrote her height down on her 14th birthday. Her incomplete table looks like this:
| Age (years) | Height (inches) |
|---|---|
| 11 | 47.5 |
| 12 | 50.25 |
| 13 | 53 |
| 14 | ? |
| 15 | 58.5 |
| 16 | 61.25 |
Using the method of linear interpolation, which of the following is the closest estimate of Mary's height on her 14th birthday?
Tap to reveal answer
Using linear interpolation means that we draw a line between the points on our data set and use that line to estimate a value that lies between two data points; in this case, we have the data from Mary's 13th and 15th birthdays, so we can describe a line between those two points and estimate her height at 14. Our line will be written in slope-intercept form:
Where the variable 
represents Mary's Age in years and the variable 
represents her height in inches. First, we need to find the slope. Using 2 points on our table 
and 
as point 1 and point 2, respectively, we plug these values into our slope formula:
Next, we find the y-intercept by plugging in our slope (which we just found) and a point from our table (we'll stick with 
) and solving for 
:
Simplify:
Subtract 35.75 from both sides to solve for 
:
The equation of our interpolation line is:
So, to get an estimate of Mary's height on her 14th birthday, we plug in 
and solve for 
:
Our estimate of Mary's height at 
is 
Using linear interpolation means that we draw a line between the points on our data set and use that line to estimate a value that lies between two data points; in this case, we have the data from Mary's 13th and 15th birthdays, so we can describe a line between those two points and estimate her height at 14. Our line will be written in slope-intercept form:
Where the variable
Next, we find the y-intercept by plugging in our slope (which we just found) and a point from our table (we'll stick with
Simplify:
Subtract 35.75 from both sides to solve for
The equation of our interpolation line is:
So, to get an estimate of Mary's height on her 14th birthday, we plug in
Our estimate of Mary's height at
← Didn't Know|Knew It →
Find the value of 
when 
given the points 
and 
.
Find the value of
Tap to reveal answer
Write the interpolation formula.
Identify and substitute the values.
Simplify the fraction.
The answer is: 
Write the interpolation formula.
Identify and substitute the values.
Simplify the fraction.
The answer is:
← Didn't Know|Knew It →
Given the two following points, use interpolation to determine the best estimate for the value
,
Given the two following points, use interpolation to determine the best estimate for the value
Tap to reveal answer
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where is our first given point, is our second given point, and is the point we want to find. We know our two given points, as well as the x value of our unknown point, so now all we must do is plug in all of our known values and solve for y, our only unknown:
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where
← Didn't Know|Knew It →
The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if workers are present.
The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if
Tap to reveal answer
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
,
where and are the points we want to find and and are known. We choose the known points to be those that are just to the left and right of the point we are trying to find,
and .
Plugging these into our interpolation formula and knowing , we can find , the units output per day.
.
Simplifying and rearranging to solve for :
.
So there are units produced when the number of workers is .
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
where
Plugging these into our interpolation formula and knowing
Simplifying and rearranging to solve for
So there are
← Didn't Know|Knew It →
Given the points and , use linear interpolation to find the value of when .
Given the points
Tap to reveal answer
Use the formula for interpolation to determine the value of y:
We will use (30, 51) as our x2 and y2 and (20, 36) as our x1 and y1 and we will solve for y using 26.5 for x.
Use the formula for interpolation to determine the value of y:
We will use (30, 51) as our x2 and y2 and (20, 36) as our x1 and y1 and we will solve for y using 26.5 for x.
← Didn't Know|Knew It →
Given and use linear interpolation to find when .
Given
Tap to reveal answer
Use the formula for interpolation:
We will use (30, 15) as x2 and y2, (15, 10) as x1 and y1, and solve for y when x=17.9:
Use the formula for interpolation:
We will use (30, 15) as x2 and y2, (15, 10) as x1 and y1, and solve for y when x=17.9:
← Didn't Know|Knew It →
Mary measures her height every year on her birthday, starting at 11 until she turns 16. She wants to make a table with all the information gathered, but discovers she lost the piece of paper on which she wrote her height down on her 14th birthday. Her incomplete table looks like this:
Age (years) Height (inches) 11 47.5 12 50.25 13 53 14 ? 15 58.5 16 61.25
Using the method of linear interpolation, which of the following is the closest estimate of Mary's height on her 14th birthday?
Mary measures her height every year on her birthday, starting at 11 until she turns 16. She wants to make a table with all the information gathered, but discovers she lost the piece of paper on which she wrote her height down on her 14th birthday. Her incomplete table looks like this:
| Age (years) | Height (inches) |
|---|---|
| 11 | 47.5 |
| 12 | 50.25 |
| 13 | 53 |
| 14 | ? |
| 15 | 58.5 |
| 16 | 61.25 |
Using the method of linear interpolation, which of the following is the closest estimate of Mary's height on her 14th birthday?
Tap to reveal answer
Using linear interpolation means that we draw a line between the points on our data set and use that line to estimate a value that lies between two data points; in this case, we have the data from Mary's 13th and 15th birthdays, so we can describe a line between those two points and estimate her height at 14. Our line will be written in slope-intercept form:
Where the variable represents Mary's Age in years and the variable represents her height in inches. First, we need to find the slope. Using 2 points on our table and as point 1 and point 2, respectively, we plug these values into our slope formula:
Next, we find the y-intercept by plugging in our slope (which we just found) and a point from our table (we'll stick with ) and solving for :
Simplify:
Subtract 35.75 from both sides to solve for :
The equation of our interpolation line is:
So, to get an estimate of Mary's height on her 14th birthday, we plug in and solve for :
Our estimate of Mary's height at is
Using linear interpolation means that we draw a line between the points on our data set and use that line to estimate a value that lies between two data points; in this case, we have the data from Mary's 13th and 15th birthdays, so we can describe a line between those two points and estimate her height at 14. Our line will be written in slope-intercept form:
Where the variable
Next, we find the y-intercept by plugging in our slope (which we just found) and a point from our table (we'll stick with
Simplify:
Subtract 35.75 from both sides to solve for
The equation of our interpolation line is:
So, to get an estimate of Mary's height on her 14th birthday, we plug in
Our estimate of Mary's height at
← Didn't Know|Knew It →
Find the value of when given the points and .
Find the value of
Tap to reveal answer
Write the interpolation formula.
Identify and substitute the values.
Simplify the fraction.
The answer is:
Write the interpolation formula.
Identify and substitute the values.
Simplify the fraction.
The answer is:
← Didn't Know|Knew It →
Given the two following points, use interpolation to determine the best estimate for the value
,
Given the two following points, use interpolation to determine the best estimate for the value
Tap to reveal answer
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where is our first given point, is our second given point, and is the point we want to find. We know our two given points, as well as the x value of our unknown point, so now all we must do is plug in all of our known values and solve for y, our only unknown:
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where
← Didn't Know|Knew It →
The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if workers are present.
The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if
Tap to reveal answer
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
,
where and are the points we want to find and and are known. We choose the known points to be those that are just to the left and right of the point we are trying to find,
and .
Plugging these into our interpolation formula and knowing , we can find , the units output per day.
.
Simplifying and rearranging to solve for :
.
So there are units produced when the number of workers is .
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
where
Plugging these into our interpolation formula and knowing
Simplifying and rearranging to solve for
So there are
← Didn't Know|Knew It →
Given the points and , use linear interpolation to find the value of when .
Given the points
Tap to reveal answer
Use the formula for interpolation to determine the value of y:
We will use (30, 51) as our x2 and y2 and (20, 36) as our x1 and y1 and we will solve for y using 26.5 for x.
Use the formula for interpolation to determine the value of y:
We will use (30, 51) as our x2 and y2 and (20, 36) as our x1 and y1 and we will solve for y using 26.5 for x.
← Didn't Know|Knew It →
Given and use linear interpolation to find when .
Given
Tap to reveal answer
Use the formula for interpolation:
We will use (30, 15) as x2 and y2, (15, 10) as x1 and y1, and solve for y when x=17.9:
Use the formula for interpolation:
We will use (30, 15) as x2 and y2, (15, 10) as x1 and y1, and solve for y when x=17.9:
← Didn't Know|Knew It →
Mary measures her height every year on her birthday, starting at 11 until she turns 16. She wants to make a table with all the information gathered, but discovers she lost the piece of paper on which she wrote her height down on her 14th birthday. Her incomplete table looks like this:
Age (years) Height (inches) 11 47.5 12 50.25 13 53 14 ? 15 58.5 16 61.25
Using the method of linear interpolation, which of the following is the closest estimate of Mary's height on her 14th birthday?
Mary measures her height every year on her birthday, starting at 11 until she turns 16. She wants to make a table with all the information gathered, but discovers she lost the piece of paper on which she wrote her height down on her 14th birthday. Her incomplete table looks like this:
| Age (years) | Height (inches) |
|---|---|
| 11 | 47.5 |
| 12 | 50.25 |
| 13 | 53 |
| 14 | ? |
| 15 | 58.5 |
| 16 | 61.25 |
Using the method of linear interpolation, which of the following is the closest estimate of Mary's height on her 14th birthday?
Tap to reveal answer
Using linear interpolation means that we draw a line between the points on our data set and use that line to estimate a value that lies between two data points; in this case, we have the data from Mary's 13th and 15th birthdays, so we can describe a line between those two points and estimate her height at 14. Our line will be written in slope-intercept form:
Where the variable represents Mary's Age in years and the variable represents her height in inches. First, we need to find the slope. Using 2 points on our table and as point 1 and point 2, respectively, we plug these values into our slope formula:
Next, we find the y-intercept by plugging in our slope (which we just found) and a point from our table (we'll stick with ) and solving for :
Simplify:
Subtract 35.75 from both sides to solve for :
The equation of our interpolation line is:
So, to get an estimate of Mary's height on her 14th birthday, we plug in and solve for :
Our estimate of Mary's height at is
Using linear interpolation means that we draw a line between the points on our data set and use that line to estimate a value that lies between two data points; in this case, we have the data from Mary's 13th and 15th birthdays, so we can describe a line between those two points and estimate her height at 14. Our line will be written in slope-intercept form:
Where the variable
Next, we find the y-intercept by plugging in our slope (which we just found) and a point from our table (we'll stick with
Simplify:
Subtract 35.75 from both sides to solve for
The equation of our interpolation line is:
So, to get an estimate of Mary's height on her 14th birthday, we plug in
Our estimate of Mary's height at
← Didn't Know|Knew It →
Find the value of when given the points and .
Find the value of
Tap to reveal answer
Write the interpolation formula.
Identify and substitute the values.
Simplify the fraction.
The answer is:
Write the interpolation formula.
Identify and substitute the values.
Simplify the fraction.
The answer is:
← Didn't Know|Knew It →
Given the two following points, use interpolation to determine the best estimate for the value
,
Given the two following points, use interpolation to determine the best estimate for the value
Tap to reveal answer
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where is our first given point, is our second given point, and is the point we want to find. We know our two given points, as well as the x value of our unknown point, so now all we must do is plug in all of our known values and solve for y, our only unknown:
Using our two known points, we can use interpolation to determine the value at any point between them with the following formula:
Where
← Didn't Know|Knew It →
The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if workers are present.
The output of a factory in units per day versus the number of employees working is plotted on the graph below, with the following data points collected:
(Workers, Units of output per day):
Assuming a linear relationship, interpolate to find how many units will be made per day if
Tap to reveal answer
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
,
where and are the points we want to find and and are known. We choose the known points to be those that are just to the left and right of the point we are trying to find,
and .
Plugging these into our interpolation formula and knowing , we can find , the units output per day.
.
Simplifying and rearranging to solve for :
.
So there are units produced when the number of workers is .
We want to do a linear interpolation since the relationship between workers and units can be assumed to be linear. This means there is a constant slope between the points, so the slope between two known points will be equal to the slope between the point we are trying to find and some known point. This is expressed in the relation:
where
Plugging these into our interpolation formula and knowing
Simplifying and rearranging to solve for
So there are
← Didn't Know|Knew It →