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A: Thanks for the question :)And your upvote will be really appreciable ;) True
Q: I need help solving for parts b-d
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- Accountants at the Tucson firm, Larry Youdelman,CPAs, believed that several traveling executives were submittingunusually high travel vouchers when they returned from businesstrips. First, they took a sample of 200 vouchers submitted from the past year. Then they developed the following multiple-regres-sion equation relating expected travel cost to number of days on the road ( x1 ) and distance traveled ( x2 ) in miles:yn = +90.00 + +48.50x1 + +.40x2The coefficient of correlation computed was .68.a) If Donna Battista returns from a 300-mile trip that took herout of town for 5 days, what is the expected amount she shouldclaim as expenses?b) Battista submitted a reimbursement request for $685. Whatshould the accountant do?c) Should any other variables be included? Which ones? Why?The accompanying data were compiled by the admissions office of a certain college during the past 5 years. The data relate the number of college brochures and follow-up letters (x) sent to a preselected list of high school juniors who took the PSAT and the number of completed applications (y) received from these students (both measured in thousands). Brochures Sent, x 1.1 2 3.8 5 6.2 Applications Completed, y 0.3 0.5 1 1.25 1.6 (a) Derive an equation of the straight line that passes through the points (2, 0.5) and (5, 1.25).y = (b) Use this equation to predict the number of completed applications that might be expected if 8000 brochures and follow-up letters are sent out during the next year. applicationsAs a result of urbanization, the temperatures in Paris have increased. In 1891 the average daily minimum and maximum temperatures were 5.8°C and 15.1°C, respectively. Between 1891 and 1968, these average temperatures rose 0.019°C/yr and 0.011°C/yr, respectively. Assuming the increases were linear, find the year when the difference between the minimum and maximum temperatures was 9C, and determine the corresponding average maximum temperature.
- A fisherman has collected data about the length in inches, L, and weight in ounces, w, of fish he has caught. The resulting line of best fit for the data is w=−37.1+3.2L. What is the predicted weight in ounces for a fish that is 22 inches long? 107.5 ounces 33.3 ounces 70.4 ounces 18.5 ouncesSolve the given LDE using the method of variation of parameters (D2+1)y = csc xChoose the formula for finding the slope m of a nonverticalline that contains the two distinct points 1x1, y12 and 1x2, y22.(a) m = y2 - x2y1 - x1x1 ≠ y1(b) m = y2 - x1x2 - y1y1 ≠ x2(c) m = x2 - x1y2 - y1y1 ≠ y2(d) m = y2 - y1x2 - x1x1 ≠ x2
- For this problem, use the multiple regression equation below to complete parts (a) and (b). Yi=10+5X1i+3X2i a. Interpret the meaning of the slopes. A. If X1 increases one unit, Y increases 3 units. If X2 increases one unit, Y increases 5 units. B. If X1 increases one unit, Y increases 5 units. If X2 increases one unit, Y increases 3 units. C. If X2 is constant, when X1 increases one unit, Y increases 5 units. If X1 is constant, when X2 increases one unit, Y increases 3 units. D. If X2 is constant, when X1 increases one unit, Y increases 3 units. If X1 is constant, when X2 increases one unit, Y increases 5 units. b. Interpret the meaning of the Y-intercept. A. The Y-intercept 5 is the estimate of the mean value of Y if X1 and X2 are both 0. B. The Y-intercept 5 is the estimate of the mean value of Y if X1 is 0. C. The Y-intercept 10 is the estimate of…The table shows data collected on the relationship between the average number of minutes spent exercising per day and math test scores. The line of best fit for the data is yˆ=0.44x+65.2. Minutes 25303540 Test Score 76798083 (a) According to the line of best fit, the predicted test score for someone who spent 42 minutes exercising is 83.68. (b) Is it reasonable to use this line of best fit to make the above prediction? Select the correct answer below: The estimate, a predicted test score of 83.68, is both reasonable and reliable. The estimate, a predicted test score of 83.68, is unreliable but reasonable. The estimate, a predicted test score of 83.68, is both unreasonable and unreliable. The estimate, a predicted test score of 83.68, is reliable but unreasonable.The regression equation is determined by finding the minimum value for which of the following? E(X – Y)2 E(Y – Ŷ) E(Y – Ŷ)2 r2E(Y – Ŷ)2
- A clothing business finds there is a linear rela- tionship between the number of shirts, n, it can sell and the price, p, it can charge per shirt. In partic- ular, historical data shows that 1,200 shirts can be sold at a price of $28, while 3,500 shirts can be sold at a price of $20. Find a linear equation in the form p(n) = mn + b that gives the price p they can charge for n shirts.Step 4 of 6 : Find the estimated value of y when x=2. Round your answer to three decimal places. step 5 of 6: determine if the statement "all points predicted by the linear model fall on the same line" is true or false Step 6 of 6: Find the value of the coefficient determination. Round answer to 3 decimal places