Question: (a) Make the logarithmic transformations x' = log (x) and y' = log (y). Then make a scatter plot of the (x, y) values.

(a) Make the logarithmic transformations x' = log (x) and y' =

(a) Make the logarithmic transformations x' = log (x) and y' = log (y). Then make a scatter plot of the (x, y) values. Does a linear equation seem to be a good fit to this plot? O The transformed data does not fit a straight line well. The data seem to explode as x decreases. The transformed data does not fit a straight line well. The data seem to explode as x increases. The transformed data fit a straight line well. The transformed data does not fit a straight line well. The data seem to have a parabolic shape. (b) Use the (x, y) data points and a calculator with regression keys to find the least-squares equation y' = a + bx'. What is the correlation coefficient? (Use 4 decimal places.) y' = r = X' (c) Use the results of part (b) to find estimates for a and in the power law y = ax. Write the power equation for the relationship between steam pressure and sheer strength of boiler plate steel. (Use 4 decimal places.) a= B

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