You have two variables: response variable=donate (yes or no) and the predictor variable is income (measured...
You have two variables: response variable=donate (yes or no) and the predictor variable is income (measured in dollars). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
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You have two variables: response variable=donate (yes or no) and
the predictor variable is income (measured...
You have three variables: response variable=income and the predictor variables are years of college (measured in...
You have three variables: response variable=income and the predictor variables are years of college (measured in years) and years of experience (measured in years). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
You have three variables: response variable= student loan debt amount (measured in dollars) and the predictor...
You have three variables: response variable= student loan debt amount (measured in dollars) and the predictor variables are year in school (fr,so,jr,sr) and parents assisting (yes or no). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
You have three variables: response variable=respond (yes or no) and the predictor variables are gender (male...
You have three variables: response variable=respond (yes or no) and the predictor variables are gender (male or female) and year in school (fr, so, jr, sr). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
Regression - response variable versus predictor variable. Provide examples of predictor variables that would be helpful...
Regression - response variable versus predictor variable. Provide examples of predictor variables that would be helpful in "predicting" a response variable. Also, what happens if these two are switched, that is, the "y" variable is used as the "x" variable.
Suppose you have two variables: GPA and age. Which one would be the response variable and...
Suppose you have two variables: GPA and age. Which one would be the response variable and why? Could either be the response variable?
Q6). Suppose that you want to fit two separate regression lines on the same data set - For the first least square fit, Y is the response variable and X is the predictor variable For the second le...
Q6). Suppose that you want to fit two separate regression lines on the same data set - For the first least square fit, Y is the response variable and X is the predictor variable For the second least square fit, X is the response variable and Y is the predictor variable. (a). Show that the product of the slope estimates from the two regression lines is Show that the above two regression lines will never be perpendicular to each other...
The multiplication of two variables is used as a predictor if the two variables jointly affect...
The multiplication of two variables is used as a predictor if the two variables jointly affect the response. True O False Question 7 1 pts Even if the P-value of the F test in a multiple regression model is nearly zero, it is possible that the R of the model is much less than one. OT False Question 8 1 pts in selecting independent variables for a regression model, neither the forward selection method nor the backward elimination method guarantee...
We have explored the use of logistic regression for when the dependent variable has two classes,...
We have explored the use of logistic regression for when the dependent variable has two classes, Yes or No, Admit or Not, etc. Suppose that there are m (>2) classes. For example, Buy, Sell, or Hold. How will you model this using logistic regression? You don't have to solve it, but provide a strategy to model this.
Decide (with short explanations) whether the following statements are true or false. e) In a simple linear regression model with explanatory variable x and outcome variable y, we have these summary s...
Decide (with short explanations) whether the following
statements are true or false.
e) In a simple linear regression model with explanatory variable x and outcome variable y, we have these summary statisties z-10, s/-3 sy-5 and у-20. For a new data point with x = 13, it is possible that the predicted value is y = 26. f A standard multiple regression model with continuous predictors and r2, a categorical predictor T with four values, an interaction between a and...
If two quantitative variables are negatively correlated, this implies that... (select all that apply; you have...
If two quantitative variables are negatively correlated, this implies that... (select all that apply; you have 5 attempts) O The response variable is always positive The response variable is always negative The response variable tends to increase when the predictor variable decreases The response variable tends to decrease when the predictor variable decreases O The LOBF for the data is horizontal O The LOBF for the data is vertical O The LOBF is upward sloping O The LOBF is downward...
Q6). Suppose that you want to fit two separate regression lines on the same data set - For the first least square fit, Y is the response variable and X is the predictor variable For the second least square fit, X is the response variable and Y is the predictor variable. (a). Show that the product of the slope estimates from the two regression lines is Show that the above two regression lines will never be perpendicular to each other...
The multiplication of two variables is used as a predictor if the two variables jointly affect the response. True O False Question 7 1 pts Even if the P-value of the F test in a multiple regression model is nearly zero, it is possible that the R of the model is much less than one. OT False Question 8 1 pts in selecting independent variables for a regression model, neither the forward selection method nor the backward elimination method guarantee...
Decide (with short explanations) whether the following
statements are true or false.
e) In a simple linear regression model with explanatory variable x and outcome variable y, we have these summary statisties z-10, s/-3 sy-5 and у-20. For a new data point with x = 13, it is possible that the predicted value is y = 26. f A standard multiple regression model with continuous predictors and r2, a categorical predictor T with four values, an interaction between a and...
If two quantitative variables are negatively correlated, this implies that... (select all that apply; you have 5 attempts) O The response variable is always positive The response variable is always negative The response variable tends to increase when the predictor variable decreases The response variable tends to decrease when the predictor variable decreases O The LOBF for the data is horizontal O The LOBF for the data is vertical O The LOBF is upward sloping O The LOBF is downward...
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