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  1. mathematics
  2. statistics
  3. 0 bedroom bathroom cars sq ft 298,000 3 2.5

0 Bedroom Bathroom Cars SQ FT 298,000 3 2.5 0 1,566 319,900 3 2.5 0 2,000 354,000 3 2 2 0 374,900 4 2.5 0 2,816 385,000 4 2 0 0 389,000 3 2.5 0 2,248 399,000 4 3 0 2,215 415,000 3 2.5 0 3,188 444,900 3 2 0 2,530 450,000 3 2 0 1,967 465,000 4 3 0 2,564 340,000 4 2.5 0 2,293 275,000 3 2.5 2 1,353 425,000 3 2 0 1,834 250,000 3 2.5 0 5,837 450,000 3 2.5 0 9,060 390,000 3 3.5 0 1,002 269,000 3 2.5 0 1,680 425,000 3 2.5 2 4,356 425,000 2 2.5 2 2,993 425,000 3 3 0 4,356 429,900 5 3.5 1 2,154 400,000 3 2.5 2 1,846 399,900 3 2 1 2,018 388,990 4 4 0 2,295 Construct and interpret a correlation matrix for your data. and explain the relationship. Show the step...

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Question

Statistics

0BedroomBathroomCarsSQ FT
298,00032.501,566
319,90032.502,000
354,0003220
374,90042.502,816
385,0004200
389,00032.502,248
399,0004302,215
415,00032.503,188
444,9003202,530
450,0003201,967
465,0004302,564
340,00042.502,293
275,00032.521,353
425,0003201,834
250,00032.505,837
450,00032.509,060
390,00033.501,002
269,00032.501,680
425,00032.524,356
425,00022.522,993
425,0003304,356
429,90053.512,154
400,00032.521,846
399,9003212,018
388,9904402,295
  1. Construct and interpret a correlation matrix for your data. andexplain the relationship.
  2. Show the step wise process of determining the best regressionmodel to predict PRICE. EXPLAIN the process as you move from thefull model to your final model.
  3. make 3 regression models based on cars, bedroom, bathroom.
  4. Using your final model, select values for the independentvariables and predict the house’s sales price.

Answer & Explanation Solved by verified expert
4.1 Ratings (613 Votes)
Construct and interpret a correlation matrix for your data and explain the relationship Price Bedroom Bathroom Cars SQ FT 1 0116311 0069295 001194 0182509 0116311 1 0454391 027731 016482 0069295 0454391 1 014388 00818 001194 027731 014388 1 015225 0182509 016482 00818 015225 1 The correlation matrix shows that Bedroom SQ FT and Bathroom have a good positive relationship with Price and Cars has a negative relationship with Price Show the step wise process of determining the best regression model to predict PRICE EXPLAIN the process as you move from the full model to your final model The regression output is R 0060 Adjusted R 0000 R 0245 Std Error    See Answer
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