Your Turn: Data Set 4 Data Set: {(1, –2.5), (2, –4), (3, -5.5), (4, -6), (5, -6.5), (6, -8), (7,-8.5) 1. The regression line is: y = 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 = 2.5, the y This is an %3D example of 5. The correlation coefficient is r = (Round to the nearest hundredth.) Check

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
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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Your Turn: Data Set 4
Data Set:
{(1, –2.5), (2, -4), (3, -5.5), (4, –6), (5, -6.5), (6, -8), (7, -8.5)}
1. The regression line is: y =
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 = 2.5, the y =
This is an
example of
5. The correlation coefficient is r =
(Round to the nearest hundredth.)
Check
MacBook Air
Transcribed Image Text:Your Turn: Data Set 4 Data Set: {(1, –2.5), (2, -4), (3, -5.5), (4, –6), (5, -6.5), (6, -8), (7, -8.5)} 1. The regression line is: y = 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 = 2.5, the y = This is an example of 5. The correlation coefficient is r = (Round to the nearest hundredth.) Check MacBook Air
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