2. (NOTE: We did not look at regression output from Minitab but you should have no problem answering part ii and iii of

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2 Note We Did Not Look At Regression Output From Minitab But You Should Have No Problem Answering Part Ii And Iii Of 1 (61.55 KiB) Viewed 85 times

2. (NOTE: We did not look at regression output from Minitab but you should have no problem answering part ii and iii of this question - see answer for parti). In a study to investigate the relationship between 50, deposition rate (x, in mg/m2 /day) and steel weight loss (y, in g/m² ) the following data were gathered: 15 285 20 360 30 415 40 475 45 550 50 580 53 595 y Using the Minitab output below, i. Write down the least squares line of weight loss on deposition rate. ii. Calculate the correlation coefficient, and test its significance iii. Fill in the missing entries marked * in the Analysis of Variance table, and say what conclusions may be drawn from the table. Predictor Coef SE Coef T Constant 180.27 17.58 10.25 0.000 Dep. rate 7.8977 0.4548 17.36 0.000 P s = 16.4921 R-Sq = 98.48 Analysis of Variance DF MS F P Source SS Regression 1 82011 Residual Error 5 1360 Total 6 83371