The following data were collected in an experiment to study the relationship between the speed of a cutting tool in m/s (x) and the lifetime of the tool in hours (y). 1 1.5 2 2.5 3 х 99 96 88 76 66 y...


The following data were collected in an experiment to study the relationship between the<br>speed of a cutting tool in m/s (x) and the lifetime of the tool in hours (y).<br>1 1.5 2 2.5 3<br>х<br>99 96 88 76 66<br>y<br>The least-squares quadratic model is y = 101.4000 + 3.371429x – 5.142857x².<br>Using this equation, compute the residuals.<br>Compute the error sum of squares SSE and the total sum of squares SST.<br>a.<br>b.<br>Compute the error variance estimate s?.<br>Compute the coefficient of determination R?.<br>Compute the value of the F statistic for the hypothesis Ho : ß1 = B2 = 0. How many<br>C.<br>d.<br>e.<br>degrees of freedom does this statistic have?<br>f.<br>Can the hypothesis Ho : B1 = B2 = 0 be rejected at the 5% level? Explain.<br>

Extracted text: The following data were collected in an experiment to study the relationship between the speed of a cutting tool in m/s (x) and the lifetime of the tool in hours (y). 1 1.5 2 2.5 3 х 99 96 88 76 66 y The least-squares quadratic model is y = 101.4000 + 3.371429x – 5.142857x². Using this equation, compute the residuals. Compute the error sum of squares SSE and the total sum of squares SST. a. b. Compute the error variance estimate s?. Compute the coefficient of determination R?. Compute the value of the F statistic for the hypothesis Ho : ß1 = B2 = 0. How many C. d. e. degrees of freedom does this statistic have? f. Can the hypothesis Ho : B1 = B2 = 0 be rejected at the 5% level? Explain.

Jun 10, 2022
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