1) A survey was conducted at a university. 30 students randomly selected and asked if they watched football. Their answers (Y=yes, N=no) and their sex (M=male, F=female) follows:

Viewing:YNNYYYNYYNYNNYYYNNYNNYNNNYNYNN
Sex :MFFMFFMMFMMFFMFMMFMMFMFFFFFMMF

Test the hypothesis that "watching football" is independent of "Gender", using 0.01 level of significance.

2) Assume sample size = 20. The CEO of a large appliance manufacturer believes that annual national expenditure on home appliances is linearly related to national personal disposable income. She collects data and estimates the equation as

Yi= -5.978 + 0.072 Xi R^2 = 0.95

(2.821) (0.0006)

a) Test Ho: B1=0 against B1 not equal to 0. using alpha 0.05.
b) Estimate expenditure on appliances if disposable income is $ 900

3) A financial analyst using 25 annual observations estimates the following linear regression model:
Yt=-509 + 0.89 X1t + 17.27X2t - 21.20X3t - 0.522X4t + 7.36X5t
(23.4) (3.24) (53.46) (0.175) (5.69)

Where Y is yearly Dow Industrial Average (DJIA)
X1 is ratio of corporate profit to corporate sales
X2 is index of industrial Production
X3 is Corporate bond yield
X4 is per capita Disposable Income
X5 is consumer price index

a) Do any of the coefficients appear to have the wrong sign?
b) Which variable(s) appear to have no significant impact on the DJIA?

Solution Summary

The solution tests hypotheses and determines the chi-square and multiple regression.

1) What is the Chi-square test? Where can you apply it? Please site an example of how it was used and the outcome of the test. I think this could help me better than the book, it is difficult to understand.
2) What is regression analysis and multipleregression? How would they be used in an outpatient setting? Please indentif

1. A multipleregression analysis includes 25 data points and 4 independent variables results in SST = 200 and SSR = 150. the multiple standard error of estimate will be?
2. A professor claimed that the proportions of grades in his classes are the same. A sample of 100 students showed the following frequencies:
grade

What do you mean by degrees of freedom in statistics? Explain the concept of degrees of freedom for each of the following hypothesis tests. Use an example in each case and compute the degrees of freedom. Determine step by step how you arrived at the degrees of freedom.
1. One Sample T-Test
2. Two Sample T-Test for Independ

Which is the best and why?
A fashion student was interested in factors that predicted the salaries of catwalk models. She collected data from 231 models. For each model she asked them their salary per day on days when they were working (salary), their age (age), how many years they had worked as a model (years), and then got

Question 9: When does multicollinearity occur in a multipleregression analysis?
Choose the right answer:
a. The dependent variables are highly correlated
b. The independent variables are minimally correlated
c. The independent variables are highly correlated
d. The independent variables have no correlation
Question 1

In a test of the independence of two variables, one the variables has two possible categories and the other has three possible categories. What will be the critical value of chi-square if the test is to be carried out at the 0.025 level? At the 0.05 level?

See attached files.
1. A study indicated where different age groups primarily get their news: At the 0.05 level of significance, is there evidence of a significant relationship between the age group and where people primarily get their news? If so, explain the relationship
Use the Chi Square file

Is there an alternative test to the chi squared test? What if my results give an expected frequency below 5, which stats book states that these should be treated with caution? Is there a more appropriate stat test which would be more accurate in working out the significance of the results?

You run a chi-square test. The critical value for this test at the .05 level is a chi-square of 6.21. What value must your obtained chi square
statistic be in order to be considered significant at the .05 level?

The chi-square test. Think of a real-world situation that would best be analyzed using this technique. For this Discussion do the following:
1. Clearly describe the dependent and independent variables you would study;
2. State the research question and statistical null and alternative hypotheses; and
3. Explain why this tes