In: Statistics and Probability
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 X  | 
 20  | 
 31  | 
 50  | 
 57  | 
 61  | 
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 72  | 
 79  | 
 81  | 
 88  | 
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 y  | 
 25  | 
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 80  | 
 81  | 
 93  | 
 68  | 
 99  | 
Note: As a way to check your data entry, Âxy = 41600 for this data.
The value of the correlation coefficient, r, is _______________________
The linear regression equation is: y = ________________________________________________ PHOTO (data lists and output)
Briefly discuss whether this line a good fit for the data and why (or why not).
Use your calculator to graph the data and vjg"tgitguukqp"nkpg0"*FqpÓv"hqtigv"vq"¦qqo"vq"{qwt"fcvc0+""
PHOTO (graph)
Dear student, please comment in the case of any doubt and I would love to clarify it
We will be applying the Linear regression model here, it can be done by using the function LINEST(y_value, x_value, TRUE, TRUE) where y_values contain values of y here and x_values have x values.
Select 5 rows and 2 columns and then write the formula in the first cell and after that, press Shift + Ctrl + Enter.
The equation comes out to be-
y = 0.21 + 1.03*x
The correlation comes out to be 0.88, it was calculated using the function CORREL(array1, array2) where array1 is x values and array2 is y values.
