Instructions: Use the technology of your choice (calculator, Excel, GeoGebra, Google Sheets) to find the regression line, the correlation coefficient of the following data sets, and interpolate or extrapolate the requested data. (Round all numbers to the nearest hundredth, when necessary.) Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}{(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}  1. The regression line is: y=_______ −________x   2. Based on the regression line, we would expect the value of response variable to be _______ when the explanatory variable is 0.    3. For each increase of 1 in of the explanatory variable, we can expect a(n) _________ of _________ in the response variable.

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Instructions: Use the technology of your choice (calculator, Excel, GeoGebra, Google Sheets) to find the regression line, the correlation coefficient of the following data sets, and interpolate or extrapolate the requested data. (Round all numbers to the nearest hundredth, when necessary.)

Data Set: {(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)}{(−3,4),(−2,3),(−1,3),(0,7),(1,5),(2,6),(3,1)} 

1. The regression line is: y=_______ −________x

 

2. Based on the regression line, we would expect the value of response variable to be _______ when the explanatory variable is 0. 

 

3. For each increase of 1 in of the explanatory variable, we can expect a(n) _________ of _________ in the response variable. 

 

4. If x=−3.5x=−3.5, the yˆ=y^= Answer. This is an example of _______.

 

5. The correlation coefficient is r=r= Answer. (Round to the nearest hundredth.)

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