Consider the data for Business Week’s top U. S. MBA programs in the MBA Data sheet of the file P10_21.xlsx. Use these data to estimate a multiple regression model to assess whether there is a relationship between the enrollment and the following explanatory variables: (a) the percentage of international students, (b) the percentage of female students, (c) the percentage of Asian American students, (d) the percentage of minority students, and (e) the resident tuition and fees at these business schools. a. Determine whether each of the regression coefficients for the explanatory variables in this model is statistically different from zero at the 5% significance level. Summarize your findings. b. Is there evidence of multicollinearity in this model? Explain why or why not.

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step-by-step explanation:

the x's and the y's both go up the same amount each time, therefore it will be a linear function because it will go in a straight line when drawn on a graph.

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you could deduce the conclusion directly using the facts pertaining to the specific situation.

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the above table 1 will calculate the population size (n) after a certain length of time (t). all you need to do is plug in the initial population number (no), the growth rate (r) and the length of time (t). the constant (e) is already entered into the equation. it stands for the base of the natural logarithms (approximately 2.71828). growth rate (r) and time (t) must be expressed in the same unit of time, such as years, days, hours or minutes. for humans, population growth rate is based on one year. if a population of people grew from 1000 to 1040 in one year, then the percent increase or annual growth rate is 40/1000 x 100 = 4 percent.

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