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Remember to pay attention to the p-value for the overall F. When removing variables from a regression, it is extremely important to remove them one at a time, since p-values can change dramatically when a variable is removed. Later, we"ll discuss a method called "backward" elimination for determining which variables to include in your final model. What about the coefficients?
Using the data in the Excel file Home Market Value, develop a multiple linear regression model for estimating the market value as a function of both the age and size of the house.
Ski Resorts of Vermont, Inc. is considering a merger with Gulf Shores, Inc. of Alabama. The board of directors surveyed 50 stockholders concerning their position on the merger.
In Texas, 1991, the weights of babies, the mean birth weight for all babies is 3369 grams, with a standard deviation of 581 grams, (454 grams = 1 pound). Looking at a baby that weighed 16.1 lbs at birth: What would his Z-score be when compared to ..
Construct a cross tabulation to examine the relationships between the two nominal/ordinal level variables. Assume that you selected a random sample of two hundreds cases and collected data on these cases.
In a multiple regression equation two independent variables are considered, and the sample size is 25. The regression coefficients and the standard errors are as follows.
The width of a confidence interval will be:
At the 0.05 significance level, can he conclude that number of absences has declined? calculate approximately the p -value.
Construct a confidence interval for the population proportion p, given n = 182, x = 135; 95%. Suppose the random variable X has a normal distribution with mean 9.0 and variance 49. The probability that X takes on a value of at least 18 is approxim..
ACT scores are normally distributed with mean 18 and standard deviation 6. Assuming that both tests measure the same kind of ability, who has the higher score, and why?
This includes knowing how to use an ANOVA for managerial decisions. Present a business example where you would use an ANOVA. State the hypothesis verbally and numerically.
A standard deviation of about $9000. Approximately what percentage of household incomes in this state is between $27,000 to $63,000/year? Show all work as to how this is obtained.
Based on these results, is there significant difference between attitudes for males and for females? Use two tailed test with alpha = .05.
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