Use the dataframe Q6. Fit a model predicting Donation. Amount from LIFETIME_MIN_GIFT_AMT and OVERLAY_SOURCE (no interaction)....
Fantastic news! We've Found the answer you've been seeking!
Question:
Transcribed Image Text:
Use the dataframe Q6. Fit a model predicting Donation. Amount from LIFETIME_MIN_GIFT_AMT and OVERLAY_SOURCE (no interaction). Copy/paste the p-value of the test for significance of the predictor OVERLAY_SOURCE If it is <2.2e-16 enter 0. Note: The predictor OVERLAY_SOURCE is a categorical variable so the test should be done by using drop1(). Check the previous activity and make sure to specify the correct test when using drop1(). `{r} data=(Q6) M6 # 12: Use dataframe Q12. First set the seed number to be 320. Split the dataframe Q12 into a training sample (75%) and holdout sample (25%). Build a predictive logistic regression model predicting Buy from all remaining predictors in Q12 (no interactions), choosing as your final model the one suggested by the one standard deviation rule (make sure to use 320 for the seed number). Fit the model on the training sample, then report its misclassification rate on your holdout sample. The answer should be a number between 0 and 100. Note: Make sure to set the random number seed to 320 when splitting the data into traning, holdout sample and building a predictive logistic regression model. #11: Use the Q11 dataframe. You want a good model predicting wins from all remaining variables in Q11 (without interactions). Perform the all possible approach, which produces a list of models with whose AICs are within 4 of the overall lowest AIC of all considered models. From this list of models, identify the predictors in the model with the FEWEST predictors (it could be the case your list has only one model). Redo the all possible approach considering just those predictors ALONG WITH all two-way interactions between them to produce yet another list of models (your list might only have one). Report the AIC of the model at the top of this list, i.e., the one with the LOWEST AIC. Note: do not add ANY extra arguments (e.g., nbest or nvmax) to any of the commands. `{r} data=(Q11) #10: Use dataframe Q10. Fit a logistic regression model predicting Smoking from Weight and SpouseRace with an interaction. Copy/paste the p-value of the interaction. If it is <2.2e-16 enter 0. Note: The predictor SpouseRace is a categorical variable so the test should be done by using drop1(). Check the previous activity and make sure to specify the correct test when using drop1(). data=(Q10) M10 Chi) 401.33 421.33 4 406.96 418.96 5.632 0.2284 Use the dataframe Q6. Fit a model predicting Donation. Amount from LIFETIME_MIN_GIFT_AMT and OVERLAY_SOURCE (no interaction). Copy/paste the p-value of the test for significance of the predictor OVERLAY_SOURCE If it is <2.2e-16 enter 0. Note: The predictor OVERLAY_SOURCE is a categorical variable so the test should be done by using drop1(). Check the previous activity and make sure to specify the correct test when using drop1(). `{r} data=(Q6) M6 # 12: Use dataframe Q12. First set the seed number to be 320. Split the dataframe Q12 into a training sample (75%) and holdout sample (25%). Build a predictive logistic regression model predicting Buy from all remaining predictors in Q12 (no interactions), choosing as your final model the one suggested by the one standard deviation rule (make sure to use 320 for the seed number). Fit the model on the training sample, then report its misclassification rate on your holdout sample. The answer should be a number between 0 and 100. Note: Make sure to set the random number seed to 320 when splitting the data into traning, holdout sample and building a predictive logistic regression model. #11: Use the Q11 dataframe. You want a good model predicting wins from all remaining variables in Q11 (without interactions). Perform the all possible approach, which produces a list of models with whose AICs are within 4 of the overall lowest AIC of all considered models. From this list of models, identify the predictors in the model with the FEWEST predictors (it could be the case your list has only one model). Redo the all possible approach considering just those predictors ALONG WITH all two-way interactions between them to produce yet another list of models (your list might only have one). Report the AIC of the model at the top of this list, i.e., the one with the LOWEST AIC. Note: do not add ANY extra arguments (e.g., nbest or nvmax) to any of the commands. `{r} data=(Q11) #10: Use dataframe Q10. Fit a logistic regression model predicting Smoking from Weight and SpouseRace with an interaction. Copy/paste the p-value of the interaction. If it is <2.2e-16 enter 0. Note: The predictor SpouseRace is a categorical variable so the test should be done by using drop1(). Check the previous activity and make sure to specify the correct test when using drop1(). data=(Q10) M10 Chi) 401.33 421.33 4 406.96 418.96 5.632 0.2284
Expert Answer:
Related Book For
Statistics Unlocking the Power of Data
ISBN: 978-1118583104
1st edition
Authors: Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, Dennis F. Lock
Posted Date:
Students also viewed these mathematics questions
-
Is this an effective model for predicting horse prices? Write down the relevant hypotheses as well as a conclusion based on the ANOVA table. Use information in the ANOVA table below, which comes from...
-
If P = 6 kN, x = 0.75 m and y = 1 m, determine the tension developed in cables AB, CD, and EF. Neglect the weight of theplate. D. 2 m
-
The model using 12 squared and interaction variables has the smallest s. However, if we desire a somewhat simpler model, note that s does not increase substantially until we move from a model having...
-
Why should one-time write-offs of fixed capital be used in absorption cost systems?
-
Discuss why it is difficult to justify CRM applications?
-
WealthPath Advisors, LLC. You recently took a job at a personal investment firm, WealthPath Advisors. After an intense orientation, you have been assigned a new client, Mrs. Lorena Lee. Ms. Lee's...
-
a. Apply the following data to evaluate the time-based model of security for the XYZ Company. Does the XYZ Company satisfy the requirements of the time-based model of security? Why? Estimated time...
-
The following information has been gathered for a project: a. Draw the network diagram. b. Calculate the slack for each activity and determine the critical path. How long will the projecttake?...
-
Turnbull Co . is considering a project that requires an initial investment of $ 5 7 0 , 0 0 0 . The firm will raise the $ 5 7 0 , 0 0 0 in capital by issuing $ 2 3 0 , 0 0 0 of debt at a before - tax...
-
Determine (a) The equivalent resistance of the circuit shown in fig. 19-39, and (b) The voltage across each resistor. 680 2 470 2 820 2 12.0 V
-
Indicate whether the following statements are true or false: 1. The tax law includes a penalty for writing a bad check in payment of the taxpayers tax liability. 2. The statute of limitations for a...
-
Malaika, 3-years-old, is a newly enrolled Muslim girl who is orientating into the Kindergarten room today, with the support of her mother, Samara. Samara explains that Malaika is learning how to use...
-
The following financial information was obtained from the year ended 2024 income statements for Luigi Automotive and Lowell Automotive: (Click the icon to view the financial information.)...
-
Read each paragraph. Write a topic sentence on the line at the beginning of the paragraph. A._______ The first difference is that you have more privacy in a private room than in a shared room. You...
-
ABC Corp. is offering a new model of its smartphone for $300 at retail price. In their marketing channel, wholesalers run the bulk logistics downstream while retailers conduct the point of sales &...
-
How do social support systems influence resilience, and what specific types of social c onnections are most effective in fostering resilience during challenging times?
-
Topic: Biosecurity for livestock and poultry production / Principles of disease control and prevention. Include: Definition of key terms Abbreviations Introduction Literature Review Objectives...
-
Determine the resultant moment produced by the forces about point O. 0.25 m 0.125 m, 0 0.3 m- 60 F = 500 N F = 600 N
-
A chi-square test for a 2 4 table with 2 -statistic = 6.83 A test statistic for one of the tests in this unit is given, along with information about sample size(s) or degrees of freedom. Give the...
-
Exercise 11.121 describes a random variable that counts the number of owneroccupied units in a sample of housing units. Use the information in that exercise to find the mean and standard deviation of...
-
In a study conducted in Paris, France, equal amounts of pigeon feed were spread on the ground in two adjacent locations. A human feeder was present in both sites, with one acting as a hostile feeder...
-
The Smith Company owns no plant assets and had the following income statement for the year: Additional information about the company includes: Use the preceding information to calculate the cash flow...
-
Use the following information regarding the Fremont Corporation to prepare a statement of cash flows using the indirect method: Accounts payable increase.. Accounts receivable increase. Accrued...
-
Morris Company reports the following amounts in its annual financial statements: a. Compute Morris's free cash flow, b. Compute Morris's operating-cash-flow-to-current-liabilities ratio, c. Compute...
Study smarter with the SolutionInn App