After running a multiple regression on sample of 124 students in a university, following results are generated. log(Y) = 0.01 + 0.3 X1 – 0.11 log(X2) + 0.03 log (X3) + E se = t = R2 = 0.65 %3D (0.06) ( ) (0.2) (0.001) (2.4) Where; Y = Students CGPA X1 = family income in 1,000 X2 = Number of subjects enrolled X3 = hours spent on studying Required: (a) Which of independent variables are statistically significant at 0.05? (b) Would you reject the null hypothesis that number of subjects enrolled has no effect or whatsoever on students CGPA? (c) What is the overall significance of the regression at the 5 percent level? State the hypotheses and show the necessary calculations. What can you conclude?

After running a multiple regression on sample of 124 students in a university, following results are generated. log(Y) = 0.01 + 0.3 X1 – 0.11 log(X2) + 0.03 log (X3) + E se = t = R2 = 0.65 %3D (0.06) ( ) (0.2) (0.001) (2.4) Where; Y = Students CGPA X1 = family income in 1,000 X2 = Number of subjects enrolled X3 = hours spent on studying Required: (a) Which of independent variables are statistically significant at 0.05? (b) Would you reject the null hypothesis that number of subjects enrolled has no effect or whatsoever on students CGPA? (c) What is the overall significance of the regression at the 5 percent level? State the hypotheses and show the necessary calculations. What can you conclude?

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...

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