Question

URGENT !!

1) The ---(a-)Variance b-)Standard deviation c-) Mean)----- of f(Y|X_i) is represented by the population equation Y = β₀ + β₁X

2) Relationship between dependent and independent variables may not be linear -----a-)about b-)within c-) outside------- the range of observed values of independent variable.

3) Linear regression provides predicted values of ---(a-)control b-)dependent c-)exogenous )---variable as a function of the independent variable

4) Regression analysis partitions -----(a-)SSX b-)SSY c-)SSXY------ into regression and error sum of squares.

5) One of the standard assumptions of the linear regression model is that values of--------a-)dependent b-)independent c-)endogenous------- variable are fixed in repeated sampling

6) In general,-------a-)decreasing b-)increasing-------- the number of independent variables in the model will lead to a lower coefficient of determination.

7) Among two simple linear regression models, we prefer the one having ------a-)larger b-)smaller----- coefficient of determination.

8) Is the given data below can be used to predict GPA of a students based on the time they spend for studying. Why?

a-)No. Sample size small

b-)No. Independent variable is probabilistic

c-)Yes. Both variables have several incidences

Time spend for studying (weekly)	10	17	8	10	8
GPA	2,3	3,0	2,1	2,7	3,1

9) Is the regression model with the following sample variances for two incidenses of X homoscedastic. Var(e_i|X=5) = 100 for n=3 and Var(e_i|X=9) = 10 for n=4 F_2,3,0.05=9,55

Since F_max = (X) larger or smaller than F_critical. We ------a-)reject H0 b-)do not H0----- and ----a-)accept H1 b-)do not accept H1--------. Therefore model is a-)homoscedastic b-)heteroscedastic

Answer 1