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An engineer in charge of process improvement wants to study the relationship between the total number of training hours (x) and the number of machines repaired by one operator every week (y). The summary data are given as follows n=12, * = 4, y = 4 = 232, Σκι = 318, Σ = 1025 TRE 1) Fit a simple linear regression model between x and y by finding out the estimates of the intercept and slope 2) Find the correlation coefficient, ie, the R value. Comment on the strength of the linear relationship between X and y
3) Find the total sum of squared total (SST), sum of squares due to regression (SSR), and sum of squares due to error (SSE) 4) Make a prediction of the number of machines repaired every week by an operator given that his training hour is 10
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