EP BUSINESS STATISTICS:FIRST COURSE-ACC
8th Edition
ISBN: 9780135179802
Author: Levine
Publisher: PEARSON CO
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Suppose you are examining a multi-variable linear regression model that was designed to predict the weight of a person, measured in kg, using 3 predictor variables. One of the variables used in this analysis is "height", with the coefficient of this variable being equal to 3.96, with a standard error of the coefficient equal to 1.168. There are 300 datapoints in the dataset. Using this information, what would be the test statistic (t-ratio) for the test to see if the variable "height" is significant?
Only round final answer. Round to two decimal places.
Suppose you are estimating a wage regression, where salary is the dependent
variable and age, years of education and a dummy variable for male are your
independent variables. You are interested in measuring how salary differs between
those who have at least a college education with those who have less than a college
education. If a person is considered as having a college education when she has
more than 12 years of education, how can you measure the difference in salary
between college and non-college educated individuals?
Select one:
a. Multiply coefficient for years of education in original regression by 12
O b. Re-estimate model replacing years of education with a dummy variable for
college
c. Re-estimate model replacing years of education with a dummy variable for
college and one for no college
O d. Re-estimate model interacting years of education with a dummy variable for
college
e. Calculate the difference in predicted salary between an individual with 14
years of education and…
Suppose the athletic director at a university would like to develop a regression model to predict the point differential for games played by the men's basketball team. A point differential is the difference between the final points scored by two competing teams. A positive differential is a win, and a negative differential is a loss. For a random sample of games, the point differential was calculated, along with the number of assists, rebounds, turnovers, and personal fouls. Use the data in the accompanying table attached below to complete parts a through e below. Assume a = 0.05.
a) Using technology, construct a regression model using all three independent variables.
y = __ + (_)x1 + (_)x2 + (_)x3 + (_)x4
b) Test the significance of each independent variable using a= 0.10.
c) interpret the p-value for each independent variable.
d) Construxt a 90% confidence interval for the regression coefficients for each independent variable and interpret the meaning.
e) Using the results from…
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