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Provide an evaluation of the size of the explanatory variables’ coefficients and their statistical significance
in Table 5.
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- 1. A Travel-Cost Method Now it is time for your first consulting job as an environmental economist. The Forest Service would like to know whether they should preserve some national forest land, previously slated to be logged, for hiking. You are helping do a travel-cost analysis to estimate the annual benefits of hiking in this area. Survey data has been gathered from 500 hikers who visited the forest last year. This forest did not charge an entrance fee. Using a statistical technique called regression analysis, you have controlled for differences in income, employment status, age, and other important factors that might affect the number of hiking trips taken. Taking these factors into account, you have developed the following relationship: Zone 1 2 3 Population in zone 1,000 3.000 2,000 Cost Per Hiking Trip Per Person 20 40 80 Hiking Trips Taken Per Zonal Person Per Year 8 6 2 where cost includes gas, tolls, fares, hotels, entry fees, and the value of time spent traveling. a. Graph a…The following data concern one of the most popular products of XYZ Manufacturing. Estimate the selling price per unit.1. A Travel-Cost Method Now it is time for your first consulting job as an environmental economist. The Forest Service would like to know whether they should preserve some national forest land, previously slated to be logged, for hiking. You are helping do a travel-cost analysis to estimate the annual benefits of hiking in this area. Survey data has been gathered from 500 hikers who visited the forest last year. This forest did not charge an entrance fee. Using a statistical technique called regression analysis, you have controlled for differences in income, employment status, age, and other important factors that might affect the number of hiking trips taken. Taking these factors into account, you have developed the following relationship: Zone Population in Cost Per Hiking Hiking Trips zone Trip Per Person Taken Per Zonal Person Per Year 1 1,000 2 3,000 3 2,000 20 8 40 6 80 2 where cost includes gas, tolls, fares, hotels, and the value of time spent traveling. a. Graph a linear…
- Use graphical method to solve the following LPP: Maximise Z = x +4y Subject to the constraints: x + y < 1 2x + 2y 2 4 *2 0, y 2 01-24 A couple of entrepreneurial business students at State University decided to put their education into practice by developing a tutoring company for business students. While private tutoring was offered, it was determined that group tutoring before tests in the large statistics classes would be most beneficial. The students rented a room close to campus for $300 for 3 hours. They developed handouts based on past tests, and these handouts (including color graphs) cost $5 each. The tutor was paid $25 per hour, for a total of $75 for each tutoring session. (a) If students are charged $20 to attend the session, how many students must enroll for the company to break even? (b) A somewhat smaller room is available for $200 for 3 hours. The company is considering this possibility. How would this affect the break-even point?Question 4 - Type Your Answers in Space Provided (a) An accountant wishes to undertake a cost analysis of electricity consumption of office heating for various maximum daily temperatures. He recorded the data over a period of 8 random days, as shown below: 2 3 4 5 6 8 Temp(°C) Max Electricity Consumption 26 31 25 26 14 20 16 34 35 20 37 24 42 41 40 17 You may use the following Excel print-outs or summary statistics provided to answer the questions. SUMMARY OUTPUT SUMMARY STATISTICS Regression Statistics Multiple R R Square Adjusted R Square Standard Error n = 8. 0.895 24 0.801 32 0.768 s2x = 48.29 4.862 s?y = 101.71 %3! Observations 8 Sxy = -62.7143 Coefficient Standard Error t Stat P-value 6.575 Intercept temp(°C) 63.172 9.607 0.000 -1.299 0.264 -4.911 0.003 Find the least squares regression line to predict the electricity consumption from the maximum temperature.
- Question 7 Refer to the following graphs to answer the following questions. А. В. D. EThe effect of Covid-19 in Small Medium Enterprise (SME) in Malaysia. kindly if you just write some theoritcal data in form of a table,it would be helpful..4) Identification of Intercept (B0), Slope of Regression Line (B1), and the P Value and an Analysis of their Meanings
- exaplin Z-D model with the help of diagramsA group of participants was surveyed and the information collected shown in the partially completed contingency table below regarding the site of skin cancer. Firstly, calculate the missing values. Melanoma Other Total Head U 43 X Trunk 52 V 98 Extremities 142 112 Y Total 229 W Z Now, using the completed contingency table, select the statements from the following list that are true. Note: a statement is true only if the value you calculated from the completed contingency table, when rounded to the same number of decimal places as in the statement, is the same as the value in the statement. 18.1% of skin cancers appear on the head 71.4% of skin cancers were melanomas or appeared on the head Given the skin cancer is something other than melanoma, the probability it is not on the extremities is 0.443 Of skin cancers appearing on the trunk, 46.9% are not melanomasDetermine the national LDV gasoline consumption using ASIF method! Please use following data to compute the fuel consumption. Parameter Number of Cars Number of Motorcycle Average fueleconomy of cars Average fuel economy of matorcycle Average car kilometer travelled Average motorcycle kilometer travelled Share of diesel fueled car Value Unit Million unit Million unit Km/L Km/L km/year km/year 15.8 115.1 12 60 15000 10000 9%