Below is some of the regression output from a simple regression of the number of wins for a major league baseball team and the size amount of money the team is paying its players (expressed in millions of $'s) *please fill in the
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- Distinguish between the following: (a) Heteroskedasticity and autocorrelation (b) specified regression model vs estimated regression equation (c) data type vs level of measurementAn article in the Journal of Agricultural Science [“The Use of Residual Maximum Likelihood to Model Grain Quality Characteristics of Wheat with Variety, Climatic and Nitrogen Fertilizer Effects” (1997, Vol. 128, pp. 135–142)] investigated means of wheat grain crude protein content (CP) and Hagberg falling number (HFN) surveyed in the United Kingdom. The analysis used a variety of nitrogen fertilizer applications (kg N/ha), temperature (ºC), and total monthly rainfall (mm). The following data below describe temperatures for wheat grown at Harper Adams Agricultural College between 1982 and 1993. The temperatures measured in June were obtained as follows:15.2 14.2 14.0 12.2 14.4 12.514.3 14.2 13.5 11.8 15.2Assume that the standard deviation is known to be σ = 0.5.(a) Construct a 99% two-sided confidence interval on the mean temperature.(b) Construct a 95% lower-confidence bound on the mean temperature.(c) Suppose that you wanted to be 95% confident that the error in estimating the mean…Distinguish between the following: (a) Heteroskedasticity and autocorrelation (b) specified regression model vs estimated regression equation (c) data type vs level of measurement (d) ANOVA and Multiple Regression (e) Outliers vs Influencers
- Your company manufactures plastic wrap for food storage. The tear resistance of the wrap, denoted by X, must be controlled so that the wrap can be torn off the roll without too much effort but it does not tear too easily when in use. In a series of tests (see data table below), 15 rolls of wrap are made under carefully controlled conditions and the tear resistance of each roll is measured. The results are used as the basis of a quality assurance specification. If X for a subsequently produced roll falls more than two standard deviations away from the test period average, the process is declared out of specification and production is suspended for routine maintenance. Roll 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 X 134 131 129 133 135 131 134 130 131 136 129 130 133 130 133 Write an Excel spreadsheet to calculate the sample mean and sample standard deviations. The {#1} {#2} a)What…Lyme disease is an inflammatory disease that results in a skin rash and flulike symptoms. It is transmitted through the bite of an infected deer tick. The following data represent the number of reported cases of Lyme disease and the number of drowning deaths for a rural county. Cases_of_Lyme_Disease Drowning_Deaths Month3 0 J2 1 F2 2 M4 1 A5 3 M15 9 J22 17 J13 5 A6 3…Question 3 You wanted to improve the model from question two and have decided to include a newvariable, percentage of English learners (EL PCT). SUMMARYOUTPUTRegression StatisticsMultiple R 0.653017122R Square 0.426431361Adjusted R Square 0.423680433Standard Error 14.46448496Observations 420 ANOVA df SS MS FRegression 2 64864.3011 32432.15055 155.0135989Residual 417 87245.29254 209.221325Total 419 152109.5936 Coefficients Standard Error t Stat P-valueIntercept 686.0322487 7.411312484str -1.101295889 0.380278316el_pct -0.649776777 0.039342549 (a) Is this second model a better or worse model than the one in question 2? Why?(b) Are all the signs of the variables as expected? State…
- a) Do these data provide good evidence that increasing the stirring rate causes the yield to increase, within the range of the data? Or might the result be due to confounding? Explain.The article “Models for Assessing Hoisting Times of Tower Cranes” (A. Leung and C. Tam, Journal of Construction Engineering and Management, 1999: 385–391) presents a model constructed by a stepwise regression procedure to predict the time needed for a tower crane hoisting operation. Twenty variables were considered, and the stepwise procedure chose a nine-variable model. The adjusted R2 for the selected model was 0.73. True or false: a) The value 0.73 is a reliable measure of the goodness of fit of the selected model. b) The value 0.73 may exaggerate the goodness of fit of the model. c) A stepwise regression procedure selects only variables that are of some use in predicting the value of the dependent variable. d) It is possible for a variable that is of no use in predicting the value of a dependent variable to be part of a model selected by a stepwise regression procedure.Your company manufactures plastic wrap for food storage. The tear resistance of the wrap, denoted by X, must be controlled so that the wrap can be torn off the roll without too much effort but it does not tear too easily when in use. In a series of tests (see data table below), 15 rolls of wrap are made under carefully controlled conditions and the tear resistance of each rool is measured. The results are used as the basis of a quality assurance specification. If X for a subsequently produced roll falls more than two standard deviations away from the test period average, the process is declared out of specification and production is suspended for routine maintenance. Roll 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 X 134 131 129 133 135 131 134 130 131 136 129 130 133 130 133 a)What is the mean tear resistance? Enter your answer to the correct number of significant figures. b)What is the…
- Q1A) 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.Consider the two (excess return) index-model regression results for stocks A and B. The risk-free rate over the period was 6%, and the market's average return was 14%. Performance is measured using an index model regression on excess returns. Stock A Index model regression estimates 1%+1.2(Rm-Rf), R-square 0.576, Residual standard deviation 10.3%, Standard deviation of excess returns 21.6%. Stock B Index model regression estimates 2%+0.8(Rm-Rf), R-square 0.436, Residual standard deviation 19.1%, Standard deviation of excess returns 24.9%. a. Calculate the following statistics for each stock: i. Alpha ii. Information ratio iii. Sharpe ratio iv. Treynor measureThe data represent below is the average of stiffness of coil spring. The data collected from 10 samples, where each sample contains only one individual observation. Calculate UCL, CL and LCL for X-bar chart for individual observations. Plot X-bar chart for individual observations. Is the process statistically in control? Sample 1 20.47 Sample 2 20.42 Sample 3 20.41 Sample 4 20.49 Sample 5 20.51 Sample 6 20.44 Sample 7 20.46 Sample 8 20.50 Sample 9 20.49 Sample 10 20.45