The Output Given Is For A Multiple Linear Regression Analysis Carried Out To Identify The Statistically Significant Pred 1 (175.78 KiB) Viewed 19 times
The output given is for a multiple linear regression analysis carried out to identify the statistically significant predictors of weld strength of a spot weld. The predictor variables are Weld Time (X1: Time), Current (x2: Current), and Squeeze Pressure (x3: Pressure). The response variable is weld strength (y: Strength). The output for the Multiple Linear Regression Analysis is shown below: Regression Analysis: strength versus time, current, pressure The regression equation is strength 2408 + 1372 time + 456 current + 17.3 pressure = Predictor Coef Constant -2407.6 Time (X1) 1371.6 current (X2) 456.19 pressure (X3) 17.28 SE Coef 800.5 294.3 58.85 13.16 T -3.01 4.66 7.75 1.31 P 0.006 0.000 0.000 0.200 Assume a= 0.05 (Use P-Values for all Conclusions) What is the conclusion of your hypothesis test for Pressure (X3)? O Reject the Null Hypothesis O Fail to Reject the Null Hypothesis
The output given is for a multiple linear regression analysis carried out to identify the statistically significant predictors of weld strength of a spot weld. The predictor variables are Weld Time (X1: Time), Current (x2: Current), and Squeeze Pressure (X3: Pressure). The response variable is weld strength (y: Strength). The output for the Multiple Linear Regression Analysis is shown below: Regression Analysis: strength versus time, current, pressure The regression equation is strength 2408 + 1372 time + 456 current + 17.3 pressure Predictor Coef Constant -2407.6 Time (X1) 1371.6 current (X2) 456.19 pressure (X3) 17.28 SE Coef 800.5 294.3 58.85 13.16 T -3.01 4.66 7.75 1.31 P 0.006 0.000 0.000 0.200 Assume a= 0.05 (Use P-Values for all Conclusions) Is Pressure (X3) a statistically significant predictor of Strength? YES O NO
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