Amanager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical). the following anova summarizes the regression results: anova source of variation df sum of squares mean square f regression 3 1004346.771 334782.257 5.96 residual 26 1461134.596 56197.48445 total 29 2465481.367 coefficients standard error t stat p-value intercept 784.92 322.25 2.44 0.02 service 9.19 3.20 2.87 0.01 gender 222.78 89.00 2.50 0.02 job -28.21 89.61 -0.31 0.76 based on the anova, the multiple coefficient of determination is

Asavings account that pays interest every 3 months is said to have a interest period

Alarge university wanted to study the relationship between completing an internship during college and students' future earning potential. prom the same graduating class, they selected a random sample of 80 students who completed an internship and 100 students who did not complete an internship and examined their salaries five years after graduation. they found that there was a statistically higher mean salary for the internship group than for the noninternship group. which of the following interpretations is the most appropriate? a. there could be a confounding variable, such as student major, that explains the difference in mean salary between the internship and no internship groups. b. we cannot infer anything from these data since the distribution of salaries is likely right skewed. c. you cannot draw any valid conclusions because the sample sizes are different. d. more students should complete internships because having an internship produces a higher salary.

What is the relationship between credit and debt?