data<- read.table("Stats1.13.HW.04.txt",header = T)
In a model predicting salary, what is the unstandardized regression coefficient for years, assuming years is the only predictor variable in the model?
5638
data <-read.table("week6.txt",header = T)summary(model1 <- lm((data$salary) ~ (data$years)))
In a model predicting salary, what is the 95% confidence interval for the unstandardized regression coefficient for years, assuming years is the only predictor variable in the model?
4930 6345
data <-read.table("week6.txt",header = T)
summary(model1 <- lm((data$salary) ~ (data$years)))
confint(model1)
In a model predicting salary, what is the unstandardized regression coefficient for years, assuming years and courses are both included as predictor variables in the model?
4807
summary(model2 <- lm((data$salary) ~ (data$years)+(data$courses)))
In a model predicting salary, what is the 95% confidence interval for the unstandardized regression coefficient for years, assuming years and courses are both included as predictor variables in the model?
4140 5473
summary(model2 <- lm((data$salary) ~ (data$years)+(data$courses)))
confint(model2)
What is the predicted difference in salary between Doctors and Lawyers assuming an equal and average number of years and courses?
9204
4807
summary(model2 <- lm((data$salary) ~ (data$years)+(data$courses)))
In a model predicting salary, what is the 95% confidence interval for the unstandardized regression coefficient for years, assuming years and courses are both included as predictor variables in the model?
4140 5473
summary(model2 <- lm((data$salary) ~ (data$years)+(data$courses)))
confint(model2)
What is the predicted difference in salary between Doctors and Lawyers assuming an equal and average number of years and courses?
9204
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