Question

Intercept Gender Publication Years Gender Publication Gender*Years Coeffs. 55,74 -4,44 2,16 1,57 -0,22 0,41 Std. Error 3,47 4,75 0,68 0,21 ? 0,37 t Stat ? ? ? ? -0,22 1,11 P-value 0,00 0,36 0,00 0,00 0,82 0,28 Lower 95% 48,64 - 14,16 0,76 1,13 ? -0,35 Upper 95% 62,84 5,27 3,56 2,01 ? 1,17 b) State the hypothesis and test for significance of regression using a = 0,01. What is your conclusion? c) Write the regression models for female and male scientists in their simplest forms (do not drop insignificant factors). d) Is there evidence of discrimination against women with respect to salaries (a = 0,01)? Why/why not?

Answer 1

Date Page D 20.01 Then Cul Hivent (6) If pualue is significant so here only publication and yeas Significant others ar Statistically are not 0 o w for malef Gender = I, male Jalaniel 355.744-4,44 (male) +2.16 (publication) + 1.57 Cycas) - 072( Gender * publications) +0.41 Gender & years) Now Gender o femoly salanes - 55.74 + 2.16 (publications) + 1.57 (years) - 0.22 ( +41 (0) (d) yes, from many salaries above equation itself we con see efficient que to meary going to reduce.