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a) t values will be the ratio of Coefficient and SE and then, p - value will be two tailed value corresponding to that t at 33 d.f. Hence,
The complete table will be:
b) t value = 2.733
c) Option A is correct.
A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used...
A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies per 1,000 people, X3 = 2004 federal expenditures per capita, and X4 = 2005 high school graduation percentage. Predictor Coefficient Intercept 4,579.5465 AgeMed -27.292 Bankrupt 19.5612 FedSpend -0.0264 HSGrad% -27.5839 (a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be...
Instructions for Data Sets: Choose one of the data sets A − J below or as assigned by your instructor. Only the first 10 observations are shown for each data set (files are on the CD). In each data set, the dependent variable (response) is the first variable. Choose the independent variables (predictors) as you judge appropriate. Use a spreadsheet or a statistical package (e.g., MegaStat or MINITAB) to perform the necessary regression calculations and to obtain the required graphs....