cribsheetfinal

cribsheetfinal - 1)You are doing a one sided, greater than,...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
1)You are doing a one sided, greater than, hypothesis test for the population proportion using a sample of 25, and you get a test statistic of 1.7.: you can reject the null hypothesis at the 5% significance level, but not at the 2.5% level 2.Determine the sample size needed in order to be 95% confident that the sample proportion of the current customer accounts is within 0.015 of the true proportion of all current accounts forthis company: p: n=z(alpha/2)(p^(1-p^)/ME^2 = 4,269 If u: n=(z(alpha/2)(s)/ME))^2 3) In this multiple regression model, the salaries are in thousands of dollars. The dummy variable for gender is statistically significant and X1 = 0 if male and X1 = 1 if female. X2 measures experience in years. The estimated model is: Salary = 20 - 3X1 + 2 X2 : The average effect of experience on salary is the same for females and males 4) A linear regression model for dependent variable Y and independent variables X1, X2, and X3 has a R2 value of 60%. Then the absolute value of the correlation between X3 and Y is: Can’t be determined 5) Consider the following multiple regression setting: F=56.25, n=111, k=10. Based on what is given find r2=.6 The regression equation is Sqrt Sales = 6.76 + 0.0177 YrsExperience + 0.0275 MktPotential + 0.0820 MktShare Predictor Coef SE Coef T P VIF Analysis of variance Constant 6.7631 0.1474 45.88 Source DF SS MS F P YrsExperience 0.017680 0.004931 1.400 Regression 3 3.3783 1.1261 40.103 0.0000 MktPotential 0.027537 0.005053 1.405 Residual erro 28 .7862 .0281 MktShare 0.08196 0.01396 1.036 Total 31 4.1645 S = 0.167571 R-Sq = 81.12% R-Sq(adj) = 79.1% New New Obs Fit SE Fit 95% CI 95% PI Obs YRS exp Mktpotential Mktshare 1 8.2636 0.0386 (8.1846, 8.3426) (7.9113, 8.6158) 1 12 20 9 6)What is the sample size n = k+n = 28 + 3 + 1= 32 7.)What are the null and alternative hypotheses for the test of the overall significance of the linear regression model? H0: β1 = β2 = β3 = 0 vs. Ha: at least one β j = 0 ̸ 8.What range would you give with 95% confidence for the square root of sales of an individual sales representative with YrsExperience = 12, MktPotential = 20, and MktShare = 9? [7.9113, 8.6158] 9) What percentage of variation in Sqrt Sales is explained by the independent variables YrsExperience , MktPotential , and MktShare ? 81.1% 10)What are the null and alternative hypotheses for the test of the significance of the independent variable MktPotential ( X 2) in the linear regression model? H0: β2 = 0 vs. Ha: β2 = 0 ̸ 11) The value of the total variation is 4.1646 12)The value of the F -statistic is B) 40.10 13)Predict the value of the Sales for YrsExperience= MktPotential=MktShare =0. A) 6.76 Approximately 45. 14. Suppose you are testing H0: β1 ≥ 0.03 vs. Ha: β1 < 0.03. What should be your decision? Reject H0 at the 0.01 level but not at the 0.005 level 15)To which has the following categories: less than high school, high school graduate, some college, bachelor’s degree, master’s degree, and Ph.D. Five more
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 09/11/2011 for the course BUAD 311 taught by Professor Vaitsos during the Spring '07 term at USC.

Page1 / 8

cribsheetfinal - 1)You are doing a one sided, greater than,...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online