1. a. At any given combination of values , the assumptions for the multiple regression model require that the population of potential error term values has?
b. What is the point estimate for the constant variance?
c.Which of the following is the sum of the squared differences between the predicted values of the dependent variable and the mean of the dependent variable, the explained variation?
d.The null hypothesis for the overall F-test states that:
At least one ββis not equal to 0
2. a. A numerical variable used in regression analysis to describe the effects of the different levels of a qualitative independent variable.
b. In multiple regression analysis, an acceptable residual vs. predicted values plot has what type of appearance?
c. The main difference between a confidence interval for the estimate of a regression and a prediction interval for the estimate is
1. a. At any given combination of values , the assumptions for the multiple regression model...
Regression and Forecastng (L) Question What does the R-squared measure for the following linear regression: Y- b0+ b2* XI + b3 * X2? A. It measures the variation around the predicted regression equation. B. It measures the proportion of variation in Y explained by XI and X2. C. It measures the proportion of variation in Y that is explained by X1 holding X2 constant. D. It will have the same sign as bl E. It measures the significance of bo...
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
are the assumptions behind any multiple regression model? (b). For a multiple regression model Y-Bo + βιΧ. + β2X2 +β3Xs + € where is the error term, to represent the relationship between Y and the four X- variables. We got the following results from the data: Source Sum of Squares degrees of freedom mean squares Regression 1009.92 Residual Total 2204.94 34 And also you are given: Variable X1 Σ.tx-xr 123.74 72.98 12.207 -Pr values -11.02 5.13 X2 X3 Y-intercept is...
Use the Eli Orchid data to extend your regression model in P2 with the dummy variable representing the weekend. 1. In column B calculate the values of the dummy variable representing weekend (w). The dummy variable w is set to 1 for Saturday or Sunday. Otherwise it is set to 0. DO NOT type the values in - you must build a formula.2. Run the regression multiple analysis. Generate the regression output in a yellow cell below. 3. Use the...
A multiple linear regression model based on a sample of 30 weeks is developed to predict standby hours based on the total staff present and remote hours. The SSR is 24672.31and the SSE is 32019.36. Complete parts (a) through (d) below. a. Determine whether there is a significant relationship between standby hours and the two independent variables (total staff present and remote hours) at the 0.05 level of significance. What are the correct hypotheses to test? H0:________________ H1: ________________ Calculate...
QUESTION 1 Consider the following OLS regression line (or sample regression function): wage =-2.10+ 0.50 educ (1), where wage is hourly wage, measured in dollars, and educ years of formal education. According to (1), a person with no education has a predicted hourly wage of [wagehat] dollars. (NOTE: Write your answer in number format, with 2 decimal places of precision level; do not write your answer as a fraction. Add a leading minus sign symbol, a leading zero and trailing...
Question 16 The error term ε in a regression model represents o a. a random error in the data. o b.unsystematic variation in the dependent variable. o c. variation not explained by the independent variables. o d. all of these. Question 14 Which of the following best describes the relationship between cost and accuracy in forecasting? a. low cost methods are always less accurate o b. statistical methods are more costly and more accurate oc. there is a trade-off between...
ek-tin Based on the following regression output, what proportion the total variation in Y is explained by X? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA di SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 Residual 8 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 0.917214 o b.9.385572...
6. In multiple regression analysis, the word linear in the term "general linear model" refers to the fact that a. Bo, Bi, ... Bp, all have exponents of 0 b. Bo, Bi,... Bp, all have exponents of 1 c. Bo, B1, ... Bp, all have exponents of more than 1 d. B, B1, ... Bp, all have exponents of less than 1 7. The following model y = Bo + BX1 + E is referred to as a a. curvilinear...
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...