Consider the data obtained from a chemical process where the yield of the process is thought to be related to the reaction temperature. Temperature (x) Yield (14) (y) 122 50 53 118 128 54 55 121 56 125 59 136 62 144 65 142 67 149 50 55 60 65 70 71 161 72 167 temp c11: 1m(formula = yield - temp) onplement sl de Residuals: 10 Median -5.4194 -3.5578 0.8025 3.4883 Min 3Q 6.5257 Coefficients: Estimate std. Error 8.9904 2.1297 t value Pr(>|t|) 0.788 (Intercept) 11.4040 0.1876 temp (Intercept) temp 0.451 11.352 1.23e-06 *** ing impaleed Signif. codes: O ****' 0.001 ** 0.01 * 0.05 *.' 0.1 ' 1 Residual standard error: 4.473 on 9 degrees of freedom 0.9347, Adjusted p-value: 1.233e-06 -squared: 0.9275 Multiple R-squared: F-statistic: 128.9 on 1 and 9 DF, What is the Pearson's Correlation Coefficient for this data? b) What type of relationship does your answer from b) suggest? c) Determine the least squares regression line (to two decimal places). d) Use your equation to predict the yield of the process at 74 degrees. e) What percentage of the variation in the yield can be explained by this linear relationship? yield 120 091