What are the uncertainties and methodologies of Static load tests?
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What are the uncertainties and methodologies of Static load tests?
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- Solve for only b and f Education and mortality The software output below isbased on the mortality rate (deaths per 100,000 people)and the education level (average number of years inschool) for 58 U.S. cities.Variable Count Mean StdDevMortality 58 942.501 61.8490Education 58 11.0328 0.793480Dependent variable is: MortalityR-squared = 41.0%s = 47.92 with 58 - 2 = 56 degrees of freedoma) Comment on the assumptions for inference.b) Is there evidence of a strong association between thelevel of Education in a city and the Mortality rate? Testan appropriate hypothesis and state your conclusion.c) Can we conclude that getting more education is likely(on average) to prolong your life? Why or why not?d) Find a 95% confidence interval for the slope of thetrue relationship.e) Explain what your interval means. *f) Find a 95% confidence interval for the averageMortality rate in cities where the adult populationcompleted an average of 12 years of school.Some of the residuals from a least-squares linear model will be positive and some will be negative. TRUE O FALSESuppose we obtain data on prices of big-screen televisions and estimate the following model: In(Price) = 4.06 + 0.06 * Size +0.23 * Wide + 0.34 * Plasma + 0.21 * LCD+0.09 * Memory where the dependent variable has been transformed, Size is the screen size measured in inches, Wide is a dummy variable equal to one if the television is a widescreen, Plasma is a dummy variable equal to one if the television is a Plasma screen, LCD is equal to one if the television is an LCD screen, and Memory is a dummy variable equal to one if the television has any memory card slots. What is the estimated price of a 42" Widescreen Plasma television with 2 memory card slots? Select one: O a. 7.24 O b. 7.33 1525.38 O d. 1394.09 • e 1881.83 Clear my choice
- Fiske Corporation manufactures a popular regional brand of kitchen utensils. The design and variety has been fairly constant over the last three years. The managers at Fiske are planning for some changes in the product line next year, but first they want to understand better the relation between activity and factory costs as experienced with the current products. Discussions with the plant supervisor suggest that overhead seems to vary with labor-hours, machine-hours, or both. The following data were collected from last three year's operations: Quarter Machine-Hours 18,850 4 5 6 7 8 9 10 11 12 18,590 17,480 19,240 21,280 19,630 19,240 18,850 18,460 20,670 17,550 18,460 Labor-Hours 15,605 15,484 16,727 15,990 17,508 17,376 15,297 14,373 16,001 17,002 14,285 17,651 Factory costs $ 3,395,671 3,425,836 3,617,844 3,573,940 3,812,984 3,778,012 3,532,426 3,369,802 3,513, 187 3,731,434 3,325,615 3,724,486 Required: Prepare a scatter graph based on the factory cost and labor-hour data. Note: 1.…urgently need Part 8 and 9 solution PleaseSuppose you are the marketing manager of a firm, and you plan to introduce a new product to the market. You have to estimate the first year net profit, which depends on several variables • Sales volume (in units) • Price per unit • Unit cost . Fixed costs Your net profit is net profit = sales volume x (price per unit-unit cost) - fixed cost The fixed cost is $120, 000, but other factors have some uncertainty. Based on your market research, there are equal chance that the market will be slow, ok, or hot. • Slow market the sales volume follows Poisson distribution with mean 50,000 units product, and the average price per unit is $11.00 ● Ok market the sales volume follows Poisson distribution with mean 75,000 units product, the average price per unit is $10.00 Hot market: the sales volume follows Poisson distribution with mean 100,000 units product, but the competition is severe so you expect the average price per unit is just $8.00 No matter what the market type is, your average unit…
- For a linear regression problem, The actual observed y-value when x = 2 is y = 6. The least squares line is y = 2x+1. The predicted value when x=2 is y = 5. Determine the value of the residual (prediction error) oooo 1 6 5 Cannot be determined from the information givenI need help with part b please to find the two models which use the best subset of variables. thanks*NEED HELP WITH 1, 2, and 3*DYNAMIC INVENTORY MODELSPLEASE WALK THROUGH WITH EXCEL IF POSSIBLE, PLEASE!Mohawk Industries builds transmissions for a large automobile manufacturer. One of its transmissionassemblies requires part #HD234, purchased from a supplier within the same industrial park. Because ofthe close proximity of its supplier, the lead me for part #HD234 is negligible.The demand for part #HD234 varies according to the orders received from the automobile manufacturer.The requirements schedule for the next 10 periods is shown below: Period 1 2 3 4 5 6 7 8 9 10 Total Demand 115 50 175 95 150 225 75 70 40 20 1,015 This requirements schedule is considered fairly typical. Furthermore, the cost of placing an order with anearby supplier is $85.00, the purchase cost is $65.00, and the holding cost fracon is 0.01 per period.Mohawk is in the process of assessing different lot-sizing policies. It is interested in several that havebeen suggested.Before it can decide among them,…
