Data Set: {(1,4), (2,6), (3, 8), (4, 10), (5, 12), (6, 14), (7, 16)} 1. The regression line is: y = +C 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) in the response variable. 4. If x= 3.5, the y X of This is an example of 5. The correlation coefficient is r = nearest hundredth.) (Round to the
Data Set: {(1,4), (2,6), (3, 8), (4, 10), (5, 12), (6, 14), (7, 16)} 1. The regression line is: y = +C 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) in the response variable. 4. If x= 3.5, the y X of This is an example of 5. The correlation coefficient is r = nearest hundredth.) (Round to the
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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Please help answer the following.An explanation as to how you got the answers you did would be great.
Transcribed Image Text:Data
Set: {(−3, 4), (−2, 3), (−1, 3), (0, 7), (1, 5), (2, 6), (3, 1)}
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)
in the response
variable.
4. If x =
-3.5, the y
=
X
of
5. The correlation coefficient is r =
nearest hundredth.)
This is an example of
(Round to the
Transcribed Image Text:Data Set:
{(1,4), (2, 6), (3,8), (4, 10), (5, 12), (6, 14), (7, 16)}
1. The regression line is: y =
+
2. Based on the regression line, we would expect the value of
0
when the explanatory
response variable to be
variable is 0.
3. For each increase of 1 in of the explanatory variable, we
can expect a(n)
in the response
variable.
4. If x= 3.5, the y
=
X
of
This is an example of
5. The correlation coefficient is r =
nearest hundredth.)
(Round to the
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