Question: Use descriptive statistics to summarize the data and make comments on them. This data is below.. Use regression analysis to develop an estimated regression equation

  1. Use descriptive statistics to summarize the data and make comments on them. This data is below..
  2. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the price of the car.
  3. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the five-year owner costs.
  4. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the road-test score.
  5. Use regression analysis to develop an estimated regression equation that could be used to predict the value score given the predicted-reliability.
  6. What conclusions can you derive from your analysis?

PLEASE DO NOT USE CHEGG OR ANYWHERE ELSE ON THE INTERNET..

Car Price ($) Cost/Mile Road-Test Score Predicted Reliability Value Score Nissan Altima 2.5 S (4-cyl.) 23,970.00 0.59 91 4 1.75 Kia Optima LX (2.4) 21,885.00 0.58 81 4 1.73 Subaru Legacy 2.5i Premium 23,830.00 0.59 83 4 1.73 Ford Fusion Hybrid 32,360.00 0.63 84 5 1.70 Honda Accord LX-P (4-cyl.) 23,730.00 0.56 80 4 1.62 Mazda6 i Sport (4-cyl.) 22,035.00 0.58 73 4 1.60 Hyundai Sonata GLS (2.4) 21,800.00 0.56 89 3 1.58 Ford Fusion SE (4-cyl.) 23,625.00 0.57 76 4 1.55 Chevrolet Malibu LT (4-cyl.) 24,115.00 0.57 74 3 1.48 Kia Optima SX (2.0T) 29,050.00 0.72 84 4 1.43 Ford Fusion SEL (V6) 28,400.00 0.67 80 4 1.42 Nissan Altima 3.5 SR (V6) 30,335.00 0.69 93 4 1.42 Hyundai Sonata Limited (2.0T) 28,090.00 0.66 89 3 1.39 Honda Accord EX-L (V6) 28,695.00 0.67 90 3 1.36 Mazda6 s Grand Touring (V6) 30,790.00 0.74 81 4 1.34 Ford Fusion SEL (V6, AWD) 30,055.00 0.71 75 4 1.32 Subaru Legacy 3.6R Limited 30,094.00 0.71 88 3 1.29 Chevrolet Malibu LTZ (V6) 28,045.00 0.67 83 3 1.20 Chrysler 200 Limited (V6) 27,825.00 0.70 52 5 1.20 Chevrolet Impala LT (3.6) 28,995.00 0.67 63 3 1.05

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