Error terms in the simple linear regression model except

Question

1. All of the following are assumptions of the error terms in the simple linear regression model except :
A. Errors are normally distributed
B. Error terms have a mean of zero
C. Error terms have a constant variance
D. Error terms depend on the explanatory variable

2. The point estimate of the variance in a regression model is 
A. SSE
B. MSE
C. s_e
D. b₁

3. The least squares regression line minimizes the sum of the 
A. Sum of Differences between actual and predicted Y values
B. Sum of Squared differences between actual and predicted X values 
C. Sum of Absolute deviations between actual and predicted X values
D. Sum of Absolute deviations between actual and predicted Y values
E. Sum of Squared differences between actual and predicted Y values

4. The ___________ the R² and the __________ the s (standard error), the stronger the relationship between the dependent variable and the independent variable. 
A. Higher, lower
B. Lower, higher
C. Lower, lower
D. Higher, higher

5.  In simple bivariate regression analysis, if the correlation coefficient is a positive value, then 
A. The Y intercept must also be a positive value.
B. The coefficient of determination can be either positive or negative, depending on the value of the slope.
C. The least squares regression equation could either have a positive or a negative slope.
D. The standard error of estimate can either have a positive or a negative value.
E. The slope of the regression line must also be positive.

6. A researcher wants to explore the relationship between the grades students receive on their Midterm test and their Final test score. The following data present the Midterm and Final scores for ten students. What is the correlation coefficient?

Mid	Fin
180	280
195	280
210	300
225	316
240	320
255	350
255	370
264	320
265	400
290	350

A. 0.556
B. 0.645
C. 0.738
D. 0.802
E. 0.905