Please show all work need help with ALL parts part of one question Assignment 3 [Read-Onlyl...
Part (c) (2 points) Interpret the estimated value of the coefficient on the “GPA” variable, i.e., explain what the number means in this regression. The coefficient for GPA is -6.3746. It means that for every unit it increases there is a decrease of -6.3746 units in time. Part (e) (2 points) Is the estimate of the coefficient on the “GPA” variable statistically significant? Please answer “yes” or “no,” then explain how we can tell. The estimate is statistically significant;...
For the following question (#19 and #20), please use the following multiple regression output. The dependent variable is Home Price: ($) the independent variables are Number of Bedrooms, Size (square footage), and Pool (0 = no pool, 1 = pool). 19: Which statement is correct? SUMMARY OUTPUT A: The R square of 571 is the best goodness of fit statistic to use for multiple regression analyses. B: The Number of Bedrooms is not a significant predictor variable. Regression Statistics Multiple...
Hello I need help with questions 2 until 9 if possible. If you can please show all work and answers clearly. Thanks for all the help have this project that’s due tonight so I need help on thanks. 27 27889.0526471 10.12 1.09 28 SUMMARY OUTPUT 29 30 Regression Statistics 1 Multiple F 0.986442 32 R Square 0.973068 33 Adjusted 0.967681 34 Standard I 32.55341 35 Observati 36 37 ANOVA 38 39 Regressio 40 Residual 41 Total 42 43 44 Intercept...
Time to Find Job GPA Effort in Job Search Internship 3 2.89 5 1 12 2.34 3 0 4 3.04 3 1 1 3.34 4 1 1 3.87 4 0 5 3.11 2 0 3 2.64 1 1 9 2.34 2 0 1 3.45 5 0 3 2.89 5 1 12 2.34 3 0 4 3.04 3 1 1 3.34 4 1 1 3.87 4 0 8 2.78 1 1 9 2.34 2 0 1 3.34 4 1 1 3.87...
19: Which statement is correct? A The square of 571 is the best goodness of fit statistic to use for multiple regression analyses B: The Number of Bedrooms is not a significant predictor variable. C. The true value of the partial slope coefficient for Size is between $40,813 and $184,985. D: At the 05 significance level, Size is not a statistically significant predictor of Price. 20. What is the impact of the dummy variable, Pool? Α. The variable is significant,...
1. One Price Realty Company wants to develop a model to estimate the value of houses in its inventory The office manager has decided to develop a multiple regression model to help explain the variation in house values. (25 points) The office manager has chosen the following variables to develop the model: X1 square feet X2- age in years x3- dummy variable for house style (1 if ranch, 0 if not) X4-2d dummy variable for house style (I if split...
Please help with multi step question- 1 question with 6 parts!! The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data...
Show your work. Carry out all calculations to at least 3 significant digits. A real estate study was conducted in the school district of Alhambra to determine what variables influenced the market value of a house (denoted by PRICE in $1,000s). Four possibly important variables – HOUSE (the house size in 1,000s of square feet), LOT (the lot size in 1,000s of square feet), BED (the number of bedrooms), BATH (the number of bathrooms), and AGE (the age of the...
Using the Excel’s Regression Tool, develop the estimated regression equation to show how income (y annual income in $1000s) is related to the independent variables education (x1 level of education attained in number of years), age (x2 in years), and gender x3 dummy variable, 1= female, 0 = male. Develop the dummy variable for the gender variable first. Use the t test to test whether each of the coefficients obtained in part (a) are significant at .05 level of significance....
Hello I need help with questions 2 until question 9 if you can do that for me thanks. I need to see all work and answers clearly. Thanks for the help I know it’s a lot but I really need help with this it’s a project that’s due tonight. Thanks ! 27 27889.0526471 10.12 1.09 28 SUMMARY OUTPUT 29 30 Regression Statistics 1 Multiple F 0.986442 32 R Square 0.973068 33 Adjusted 0.967681 34 Standard I 32.55341 35 Observati 36...