Question 1

1.7 regression Line: estimation&prediction Examples]in simple linear regression,the prediction interval one of member of the population will always be wider than the confidence interval of the mean response all members of the population when using the same predicting value

True

false

Question 2

[2.2 Estimation Method] In ANOVA,the linearity assumption is assessed using a plot of the response variable against the predicting variable

True

false

Question 3

[1.4 Statistical Inference] If the assumptions of the simple linear regression model hold, then the then the estimator for the variance of the error termsis a random variable

True

False

Question 4

[1.2 estimation method] The estimated simple linear regression coefficient measures thestrength of alinear relationship between the predicting and response variables.

True

False

Question 5

[1.2 Test for Equal Means] In ANOVA,the mean sum of squared errors (MSE) measures variability within groups

True

False

Question 6

[1.4 Statistical Inference] In simple linear regression,B1 is an unbiased estimator for B0

True

Fales

Question 7

[1.4 StatisticalInference] Under the normality assumption,the estimated simple linear regression coefficient,B1,is a linear combination of normally distributed random variables

True

False

Question 8

[1.2 estimation method] In simple linear regression model, we lose three degrees of freedom when estimating the variance of the error terms because of the estimation three model parameters B0,B1, .

True

Fales