Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer terminal. The regression equation is Y = 6.1092 + .8951 X Predictor Coef SE Coef   Constant 6.1092 0.9361   X 0.8951 0.1490   Analysis of Variance SOURCE DF SS MS Regression 1 1575.76 1575.76 Residual Error 8   349.14     43.64 Total 9 1924.90     Complete the estimated regression equation (to 4 decimals).  =  +  x Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance. Compute the value of the t test statistic (to 2 decimals). What is the p-value? Use Table 1 of Appendix B. Selectless than .01between .01 and .02between .02 and .05between .05 and .10between .10 and .20between .20 and .40greater than .40Item 4 What is your conclusion? SelectConclude that monthly maintenance expense is related to usageCannot conclude that monthly maintenance is related to usageItem 5 Use the estimated regression equation to predict monthly maintenance expense for any terminal that is used 25 hours per week (to 2 decimals). $

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.