Effects of cold and warm temperatures on springback

Assignment Help Basic Statistics

Reference no: EM131087553

The accompanying data was extracted from the article "Effects of Cold and Warm Temperatures on Springback of Aluminum-Magnesium Alloy 5083- H111" (J. of Engr. Manuf., 2009: 427-431). The response variable is yield strength (MPa), and the predictor is temperature (°C)

Here is Minitab output from fitting the quadratic regression model (a graph in the cited paper suggests that the authors did this):

a. What proportion of observed variation in strength can be attributed to the model relationship?

b. Carry out a test of hypotheses at significance level .05 to decide if the quadratic predictor provides useful information over and above that provided by the linear predictor.

c. For a strength value of 100, y= 134.07, s_Y= 2.38. Estimate true average strength when temperature is 100, in a way that conveys information about precision and reliability. d. Use the information in (c) to predict strength for a single observation to be made when temperature is 100, and do so in a way that

Reference no: EM131087553

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