Consider the following data values for variables x and y: X 5 4 3 6 9 8 10 The regression coefficients were calculated as bo 13.223 and b₁ = -1.257. Select the correct statement. 8 10 5 2 3 1 Select one: O a. If x = 2, the estimated value of y from the regression line is -25.189. b. The least--squares regression line is y=13.223-1.257x. c. An x-value of 11 resulted in an estimated y value of -1.861 d. The least--squares regression line is y = 1.257-13.223x. e. The relationship between x and y appears to be linear and positive.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 7E
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Consider the following data values for variables x and y:
Ť
8
10
5
2
3
1
X
5
4
3
6
9
8
10
The regression coefficients were calculated as bo = 13.223 and b₁ = -1.257. Select the correct statement.
Select one:
O a. If x = 2, the estimated value of y from the regression line is -25.189.
b. The least--squares regression line is y = 13.223-1.257x.
c. An x-value of 11 resulted in an estimated y value of -1.861
d.
The least--squares regression line is y = 1.257-13.223x.
e. The relationship between x and y appears to be linear and positive.
Transcribed Image Text:Consider the following data values for variables x and y: Ť 8 10 5 2 3 1 X 5 4 3 6 9 8 10 The regression coefficients were calculated as bo = 13.223 and b₁ = -1.257. Select the correct statement. Select one: O a. If x = 2, the estimated value of y from the regression line is -25.189. b. The least--squares regression line is y = 13.223-1.257x. c. An x-value of 11 resulted in an estimated y value of -1.861 d. The least--squares regression line is y = 1.257-13.223x. e. The relationship between x and y appears to be linear and positive.
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