1. QUESTION 1 When Sig. F in a Multivariable regression is less than alpha (the significance level which is usually 5%), then we can say ( Choose ALL the correct answers. There is more than one correct answer. There is negative marking for choosing incorrect answers ). The overall regression model is significant At least one of the independent variables helps in explaining the dependent variable. All the independent variables are affecting the dependent variable. The regression model is 100% accurate. At least one of the slope coefficients is non-zero. The regression model is a useful predictor of the dependent variable. 1. QUESTION 2 A regression was run with the DDT level in fishes caught from a river as the dependent variable and the following variables as independent variable 1.Distance upstream where the fish was caught 2. Length of the fish caught 3. Weight of the fish caught Which of the values in the attached table will help us determine if Length of the fish is a significant variable? (Click on the appropriate number in the attached image. If you notice carefully, a small circle should appear in the area where you clicked on the image. That will be registered as your response.) Selected Coordinates Clear 1. QUESTION 3 The following is true for adjusted R square (Choose ALL the correct answers. There is more than one correct answer. There is negative marking for choosing incorrect answers ) It increases only when the additional variables included in the model are helpful in explaining the variation in the dependent variable. Is a benchmark value for both single and multi variable regressions. It is a better indicator of fitness than R square in the case of a multi variable regression. It adjusts for the sample size and the number of independent variables used in the model. It automatically adjusts for any typos in the data or software errors. 1. QUESTION 4 A dummy variable regression Involves a categorical variable as one of the independent variables. Is preformed when the dependent variable is a qualitative variable with yes or no possbility. Is a regression that is run as a trial before running the actual regression Is a regression the results of which does not serve any practical purpose. 1. QUESTION 5 Use the data in the attached excel file to determine the slope coefficients in a multiple variable regression with Price as the dependent variable and Age and NumBids as independent variables. (We are trying to predict the price of antique clocks based on how old the clock is and how many bidders were interested in the clock). Gfclocks data(1).xls The slope coefficient for Age is and the slope coefficient for Numbids is . (Provide at least two decimal points) \f\fAGE 127 115 127 150 156 182 156 132 137 113 137 117 137 153 117 126 170 182 162 184 143 159 108 175 108 179 111 187 111 115 194 168 NUMBIDS PRICE 13 1235 12 1080 7 845 9 1522 6 1047 11 1979 12 1822 10 1253 9 1297 9 946 15 1713 11 1024 8 1147 6 1092 13 1152 10 1336 14 2131 8 1550 11 1884 10 2041 6 845 9 1483 14 1055 8 1545 6 729 9 1792 15 1175 8 1593 7 785 7 744 5 1356 7 1262 AGE 127 115 127 150 156 182 156 132 137 113 137 117 137 153 117 126 170 182 162 184 143 159 108 175 108 179 111 187 111 115 194 168 NUMBIDS PRICE 13 1235 12 1080 7 845 9 1522 6 1047 11 1979 12 1822 10 1253 9 1297 9 946 15 1713 11 1024 8 1147 6 1092 13 1152 10 1336 14 2131 8 1550 11 1884 10 2041 6 845 9 1483 14 1055 8 1545 6 729 9 1792 15 1175 8 1593 7 785 7 744 5 1356 7 1262