In a simple linear regression problem, the following statistics are calculated from a sample of 10 observations: Σ(x-x)(y-ỹ)= 2250, s₂ = 10, Σx = 50, Σy = 75. The least squares estimates of the slope and y-intercept are respectively: a. 1.5 and 0.5 b. 2.5 and 1.5 C. 1.5 and 2.5 d. 2.5 and -5.0 If a simple linear regression model has no y-intercept, then: all values of x are zero b. all values of y are zero c. when y = 0 so does x d. when x = 0 so does y a.
In a simple linear regression problem, the following statistics are calculated from a sample of 10 observations: Σ(x-x)(y-ỹ)= 2250, s₂ = 10, Σx = 50, Σy = 75. The least squares estimates of the slope and y-intercept are respectively: a. 1.5 and 0.5 b. 2.5 and 1.5 C. 1.5 and 2.5 d. 2.5 and -5.0 If a simple linear regression model has no y-intercept, then: all values of x are zero b. all values of y are zero c. when y = 0 so does x d. when x = 0 so does y a.
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
Transcribed Image Text:In a simple linear regression problem, the following statistics are calculated from a
sample of 10 observations:
= 50,
(x-7)(y-y)= 2250, s,= 10,
x
Σy
= 75. The least squares estimates of the slope and y-intercept are respectively:
1.5 and 0.5
2.5 and 1.5
c. 1.5 and 2.5
d. 2.5 and -5.0
If a simple linear regression model has no y-intercept, then:
all values of x are zero
b.
all values of y are zero
c. when y = 0 so does x
when x = 0 so does y
d.
a.
b.
a.
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