conduct an individual significance tests at the 5% significance level to determine if SQFT is a significant predictor of Price
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For the simple regression equation (a), conduct an individual significance tests at the 5% significance level to determine if SQFT is a significant predictor of Price.
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- We have a table of cities and temperatures. Use 1 Way fixed-effects ANOVA tocalculate the F value showing your work.city temperatureOrlando 70Orlando 65Orlando 60Orlando 65Dallas 75Dallas 65Dallas 60Dallas 60Chicago 50Chicago 50Chicago 40Chicago 40The null hypothesis is H0 : µOrlando = µDallas = µChicagoWe are using the average bonuses paid to workers on Wall Street from 2000 to 2016 to fit different auto-regressive models. The data is provided below: Year Bonus($000) 2000 100.5 2001 74.1 2002 60.9 2003 99.9 2004 113.5 2005 149.8 2006 191.4 2007 177.8 2008 100.9 2009 140.6 2010 139.0 2011 111.4 2012 142.9 2013 169.8 2014 160.3 2015 136.8 2016 138.2 a. fit a third-order autoregressive model to the bonuses paid and test for the significance of the third-order autoregressive parameter (slope) (Use a = 0.05.) b. if necessary, fit a second-order autoregressive model to the bonuses paid and test for the significance of the second-order autoregressive parameter (slope). (Use a = 0.05.) c. if necessary, fit a first-order autoregressive model to the bonuses paid and test for the significance of the first-order autoregressive parameter (slope). (Use a = 0.05.) d. if…The population (in millions) and the violent crime rate (per 1000) were recorded for 10 metropolitan areas. The data are shown in the following table. Do these data provide evidence to reject the null hypothesis that ? = 0 in favor of ? ≠ 0 at ? = .05? (Give your answers correct to three decimal places.) Population 10 2.3 1.4 6 2.7 6 1.9 1.7 2.1 6.7 Crime Rate 12.4 6.7 7.8 7.4 8 7 8.9 9.1 8 7.7 (ii) Calculate the critical region. (smaller value) (larger value)
- The management of BCD Inc. would like to separate the fixed and variable components of electricity as measured against machine hours in one of its plants. Data collected over the most recent six months follow:Electricity MachineMonth Cost Hours January $1,100 4,500February 1,110 4,700March 1,050 4,100April 1,200 5,000May 1,060 4,000June 1,120 4,600Required: 1. Using the method of least squares, compute the fixed cost and the variable cost rate for electricity expense. (Round estimates to the nearest cent.) 2. Compute coefficients of correlation and determinationThe diameter of a metal shaft used in a disk-drive unit is normally distributed with mean 0.2508 in. and std. dev. 0.0005 in. The specification on the shaft have been established as (0.25-0.0015 in, 0.25+0.0015in) If the process mean has been adjusted to 0.25 in, what fraction of the shafts produced does NOT conform to specifications? a). 0.0027 b). 0.0013 c).0.08 d). 0.16A computer store sells 3 computer models priced at P26,000, 32,000, and42,000, and two brands of monitors priced at P3,200 and 3, 800, respectively.The joint pmf of X, the computer price, and Y , the monitor price, is given inthe table below. X\Y 3,200 3,800 26,000 0.30 0.25 32,000 0.20 0.10 42,000 0.10 0.05 Compute the marginal probability functions (pmf’s).
- A dietitian wishes to see if a person’s cholesterol level will be changed if the diet is supplemented by a certain mineral. Four subjects were pre-tested, and they took the mineral supplement for a 6-week period. The results are shown in the table. Is there sufficient evidence to conclude that the population mean of cholesterol levels has been changed after six weeks at α=0.2α=0.2? Assume that the differences are from an approximately normally distributed population. Subject Cholestrol Level (mg/dl) Cholestrol Level after 6 Weeks (mg/dl) dd ¯dd¯ (d−¯d)2(d-d¯)2 1 206 217 11 2 219 184 -35 3 202 204 2 4 213 205 -8 Total -30 a) Calculate the mean, the sum of the squared deviation from the mean, and the standard deviation of differences. Do not include the unit for each answer: ¯d=d¯= (do not round) ∑(d−¯d)2=∑(d-d¯)2= (do not round) sd=sd= (rounded to one decimal place) b) Perform the hypothesis test in the following steps: Step 1.…Samples are collected from the River X and pH values are observed. 9 different pH values are listed in table 3. Table 3 Concentrations 3.55 4.01 5.38 3.22 8.05 5.25 4.67 3.67 3.5Draw box plot and find a. Bowley’s coefficient of skewness b. Karl Pearson’s coefficient of skewness c. Third moment Rubric Stages of Process Marks Imagine and Plan 2Composition 2Effort 1Q1A) List down the measures of central tendency and measures of dispersion 1) Q1B) The operations manager of a plant that manufactures tires wants to compare the actual inner diameters of two grades of tires, each of which is expected to be 575 millimeters. A sample of five tires of each grade was selected, and the results representing the inner diameters of the tires, ranked from smallest to largest, are as follows. Grade X grade Y 568 570 575 578 584 573 574 575 577 578 requirement. a) for each of the tow grades of tries, compute the mwan, median, and standred deviation. b) which grade of tire providing better quality? explain. c) what would be the effect on your answer in (a) and (b) if the last value for grade Y were 588 insert 578 explain. PLEAS ANSWER Q1&B. THANK YOU.
- Derive a general expression for the variance of net future loss Var(L) with a constant force of interest δ under each of the following models:i. μ_x(t) = μii. μ_x(t) = 1/(ω-x)Data for nine girders in the form of the ratio of predicted to observed load for two procedures, the Karlsruhe and Lehigh methods, are as follows: Girder Karlsruhe Lehigh 1 1.186 1.061 2 1.151 0.992 3 1.322 1.063 4 1.339 1.062 5 1.200 1.065 6 1.402 1.178 7 1.365 1.037 8 1.537 1.086 9 1.559 1.052 1) calculate the t-value and what is your conclusion at (α = 0.05)? 2) What is the 90% confidence interval for the difference in means?Q1 A) List down the measures of central tendency and measures of dispersion 2) The operations manager of a plant that manufactures tires wants to compare the actual inner diameters of two grades of tires, each of B) which is expected to be 575 millimeters. A sample of five tires of each grade was selected, and the results representing the inner diameters of the tires, ranked from smallest to largest, are as follows. Grade X grade Y 568 570 575 578 584 573 574 575 577 578 requirement. a) for each of the tow grades of tries, compute the mwan, median, and standred deviation. b) which grade of tire providing better quality? explain. c) what would be the effect on your answer in (a) and (b) if the last value for grade Y were 588 insert 578 explain. C) The file contins the overall miles per gallon (MPG) OF 2010 family sedan: 24 21 22 23 24 34 34 34 20 20 22 22 44 32 20 20 22 20 39 20 Source:…