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Inference with computer printouts

Utilizing computer printouts from Excel and Minitab to infer relationships based on height and weight data samples. Confidence intervals, significance tests, and prediction equations are examined.

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Inference with computer printouts

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  1. Inference with computer printouts

  2. Leaning Tower - Excell

  3. Leaning Tower - Minitab Predictor Coef SE Coef T P Constant -42.41 32.95 -1.29 0.234 Year 9.0925 0.4054 22.43 0.000 S = 4.57997 R-Sq = 98.4% R-Sq(adj) = 98.2%

  4. The following data is based on x (height in inches) and y (weight in lb) based on a sample of 10. Find a 90% confidence interval to estimate the slope. Predictor Coef SE Coef T P Constant -104.46 43.75 -2.39 0.044 Height 3.9527 0.6580 6.01 0.000 S = 7.16009 R-Sq = 81.9% R-Sq(adj) = 79.6% b We’re 90% confident that for every additional inch in height, the weight increases on average between 2.75 pounds and 5.16 pounds.

  5. The following data is based on x (height) and y (weight). Is there a relationship?. Predictor Coef SE Coef T P Constant -104.46 43.75 -2.39 0.044 Height 3.9527 0.6580 6.01 0.000 S = 7.16009 R-Sq = 81.9% R-Sq(adj) = 79.6% P-Value for 2 tailed test b Test Statistic Reject the Ho since the p-value < α. There’s sufficient evidence to support the claim that there is a relationship between height and weight.

  6. The following shows they car weight (in lb) and the mileage (mpg) of 25 different models. • Give the prediction equation. • State & interpret the slope & y-int

  7. The following shows they car weight (in lb) and the mileage (mpg) of 25 different models. • What is the correlation coefficient? • Estimate 

  8. Homework • Worksheet

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