1. An engineer is investigating the effect of process operating temperature on product yield. The study results in the following data: Temperature, "C(x) | 100 | 110 | 120 130 140 | 150 160 | 170 | 180 | 190 Yield, %(y) 51 54 61 | 66 70 74 78 85 89 45 a. Determine the simple linear regression model and plot the graph b. Conduct test of Significance of the coefficient, b to determine if there is linear relationship between the operating temperature and product yield at 1% level of significance. c. Conduct test of significance of the regression model in (a) at 1% significance level and construct the ANOVA Table

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1. An engineer is investigating the effect of process operating temperature on product yield. The study
results in the following data:
Temperature, °C(x) 100
| Yield, %(y)
130 140 | 150 160 170
61 66 70 74
180 190
85 89
110
120
45 51
78
54
a. Determine the simple linear regression model and plot the graph
b. Conduct test of Significance of the coefficient, b to determine if there is linear relationship between
the operating temperature and product yield at 1% level of significance.
c. Conduct test of significance of the regression model in (a) at 1% significance level and construct the
ANOVA Table
Transcribed Image Text:1. An engineer is investigating the effect of process operating temperature on product yield. The study results in the following data: Temperature, °C(x) 100 | Yield, %(y) 130 140 | 150 160 170 61 66 70 74 180 190 85 89 110 120 45 51 78 54 a. Determine the simple linear regression model and plot the graph b. Conduct test of Significance of the coefficient, b to determine if there is linear relationship between the operating temperature and product yield at 1% level of significance. c. Conduct test of significance of the regression model in (a) at 1% significance level and construct the ANOVA Table
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