The appraisal of warehouse can appear straightforward compared to other appraisal assignments. A W warehouse appraisal involves comparing a building that is primarily an open shell to other such buildings. However, there are still a number of warehouse attributes that are plausibly related to appraised value. Consider the accompanying data on truss height (ft), which determines how high stored goods can be stacked, and sale price ($) per square foot. 16 Height 12 14 14 15 15 Price 35.51 37.84 36.88 39.99 37.98 37.51 Height 24 26 26 27 Price 46.19 50.33 49.11 48.09 18 22 24 40.99 48.51 47.01 47.52 28 30 30 33 36 50.92 54.76 54.34 57.16 57.45 22 (a) Estimate the true average change in sale price associated with a one-foot increase in truss height, and do so in a way that conveys information about the precision of estimation. (Use a 95% CI. Round your answers to three decimal places.) ], $[ dollars per square foot (b) Estimate the true average sale price for all warehouses having a truss height of 25 ft, and do so in a way that conveys information about the precision of estimation. (Use a 95% CI. Round your answers to three decimal places.) (c) Predict the sale price for a single warehouse whose truss height is 25 ft, and do so in a way that conveys information about the precision of prediction. (Use a 95% PI. Round your answers to three. decimal places.) dollars per square foot How does this prediction compare to the estimate of (b)? The prediction interval is ---Select--the confidence interval in part (b). (d) Without calculating any intervals, how would the width of a 95% prediction interval for sale price when truss height is 25 ft compare to the width of a 95% interval when height is 30 ft? Explain your reasoning. Since 25 is ---Select--the mean than 30, a PI at 30 would be ---Select-- than the PI at 25.

An engineer wants to determine how the weight of a gas powered car, x, affects gas mileage, y. The accompanying days represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. weight                    Miles per (pounds), x           Gallon, y 3797                             16 3897                             16 2704                             24 3608                             20 3360                             22 3040                             22 3787                              17 2618                              24 3509                             18 3798                             16 3399                             17   interpret the slope y-intercept, if appropriate. Choose the correct answer below for y hat = -0.00661x + 41.80 a) A weightless car will get ____ miles per gallon, on average. It is not appropriate to interpret the slope.  b) for every pound added to the weight of the car, mileage in the city will…

The following sales forecast was generated in Excel. What is line C? Sales Revenue $250,000 $200,000 $150,000 $100,000 $50,000 $0 1 wwwww 3 5 Multiple Choice 7 Sales Revenue пик -Forecast( Sales Revenue) Most likely predicted level of sales revenue 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Highest predicted level of sales revenue Actual sales revenue Lowest predicted level of sales revenue A B C

The data table to the right represents the volumes of a generic soda brand. Complete parts (a) and (b) below. a. Which plot represents a dotplot of the data? O A. O C. 50 60 50 70 80 90 Volumes of soda (oz) 60 70 80 90 Volumes of soda (oz) o o Q Q 520 Q Q 5 www. O B. OD. 50 50 60 70 60 Volumes of soda (oz) 70 80 75 70 65 50 元 5 75 75 85 . 70 65 Volumes of soda (oz) 80 90 70 80 90 Volumes of soda (oz) 65 80 70 Q Q Q Q