Use the Credit data to perform the following tests using Linear Regression settings: Online quiz (Q9...
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Use the Credit data to perform the following tests using Linear Regression settings: Online quiz (Q9 to Q10) will be based on the results of the regressions performed below. i. Test whether Age influence Credit Card Balance on the basis of simple linear regression. (Provide a summary of the model using summary() function). ii. Use Age and Credit Rating as predictors of Credit Card Balance (response variable) in a multiple linear regression setting. (Provide a summary of the model using summary() function). Interpret the effects of both the predictors. Compare effect of Age from part (i) and (ii). Provide answer to this question in R Code (Script). Credit Data Income Limit Rating Cards Age Education Gender Student Married Ethnicity Balance 3606 283 2 Caucasian 333 1 14.891 2 106.025 6645 483 3 104.593 7075 514 4 148.924 9504 681 5 55.882 4897 357 6 80.18 8047 569 7 20.996 3388 259 3 4 3 2 4 2 34 11 82 71 36 68 77 37 15 11 11 16 10 12 Male No Female Yes Male No 2 Female No Male No Male No Female No Yes Yes 2 No 2 No Yes No No Asian Asian Asian 903 580 African American 964 Caucasian 331 Caucasian 1151 203 Use the Credit data to perform the following tests using Linear Regression settings: Online quiz (Q9 to Q10) will be based on the results of the regressions performed below. i. Test whether Age influence Credit Card Balance on the basis of simple linear regression. (Provide a summary of the model using summary() function). ii. Use Age and Credit Rating as predictors of Credit Card Balance (response variable) in a multiple linear regression setting. (Provide a summary of the model using summary() function). Interpret the effects of both the predictors. Compare effect of Age from part (i) and (ii). Provide answer to this question in R Code (Script). Credit Data Income Limit Rating Cards Age Education Gender Student Married Ethnicity Balance 3606 283 2 Caucasian 333 1 14.891 2 106.025 6645 483 3 104.593 7075 514 4 148.924 9504 681 5 55.882 4897 357 6 80.18 8047 569 7 20.996 3388 259 3 4 3 2 4 2 34 11 82 71 36 68 77 37 15 11 11 16 10 12 Male No Female Yes Male No 2 Female No Male No Male No Female No Yes Yes 2 No 2 No Yes No No Asian Asian Asian 903 580 African American 964 Caucasian 331 Caucasian 1151 203
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Applied Regression Analysis and Other Multivariable Methods
ISBN: 978-1285051086
5th edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg
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