Exercise 7. The statistical model for linear regression can be expressed as which of the following equations? a. DATA = FIT + RESIDUAL b. FIT = DATA + RESIDUAL c. RESIDUAL = DATA + FIT d. DATA = FIT Exercise 8. The explanatory variable x is ________. a. quantitative b. qualitative c. categorical d. None of the above Exercise 9. What is the subpopulation mean when x = 20? a. 270 b. 100 c. 70 d. None of the above

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Exercise 7. The statistical model for linear regression can be expressed as which of the following
equations?
a. DATA = FIT + RESIDUAL
b. FIT = DATA + RESIDUAL
c. RESIDUAL = DATA + FIT
d. DATA = FIT

Exercise 8. The explanatory variable x is ________.
a. quantitative
b. qualitative
c. categorical
d. None of the above

Exercise 9. What is the subpopulation mean when x = 20?
a. 270
b. 100
c. 70
d. None of the above

+₁x, where
The statistical model for simple linear regression is written as u =
u represents the mean of a Normally distributed response variable, and x represents the
explanatory variable. The parameters and , are estimated, giving the linear regression
model defined by μ = 70+10x, with standard deviation = 5. Based on this, answer
y
questions 7 to 10.
Transcribed Image Text:+₁x, where The statistical model for simple linear regression is written as u = u represents the mean of a Normally distributed response variable, and x represents the explanatory variable. The parameters and , are estimated, giving the linear regression model defined by μ = 70+10x, with standard deviation = 5. Based on this, answer y questions 7 to 10.
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