In a multiple regression model, there are 10 independent variables included in the model. Therefore the sample size should be at least 10.
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Q. 2Consider a multiple regression model with three independent variables. If the y-intercept is negative, then at least two of the partial regression slope coefficients will also be negative.
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Q. 3In a multiple regression model, the partial regression slope coefficients measure the average change in the dependent variable for a one-unit change in the dependent variable of interest, with all other independent variables held constant.
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Q. 4The multiple coefficient of determination measures the proportion or percentage of variation in the dependent variable that is explained by the independent variables included in the model.
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Q. 5In a multiple regression model, there is only one dependent variable and two or more independent variables.
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Q. 6The adjusted coefficient of determination is adjusted for the number of independent variables in the model by using sum of squares rather mean squares.
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Q. 7In a multiple regression model involving 5 independent variables, if the sum of the squared residuals is 847 and the data set contains 40 points, then, the value of the standard error of the estimate is 24.911.
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