Suppose they conducted another set of experiment with increased sample sizeand saw that the three feed additives have different mean cortisol level. Tablebelow showed summary of Tukey's HSD. Summarize the result of Tukey's HSDin Table 2 and provide synthesis.Table 1. Matrix of HSD's test result for the experimentTreatmentsMean differencep- valueA2 - Al-0.89600.00154A3 - Al-0.90400.00129A3A2-0.00800.99907Table 2. Summary of HSD's resultSummary (in letter or indot form)TreatmentMeanSDAl2.5720.2546959A21.6760.3041874АЗ1.6680.3562583Synthesis:

Given Information: Consider the matrix of HSD's test result for the experiment. Treatments Mean…

Answered: Suppose they conducted another set of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Female and Smoke are binary indicator variables ( 0 and 1). Age and Education is measured continuously in years. Loan Default is a binary indicator variable (0 = no default, 1=default). Are the predictor variables in Models A statistically significant at the 5% significance level? Carefully interpret the coefficients for Female and Education in Models A Generate a forecast from all 3 models when Age=10, Educ=10, Sex=1, Smoke=0 You are unsure if education has a linear effect on loan default. What are possible transformations you can do to check for non-linearity?
Two groups of mice were injected with a measured amount of tumor pulp. The first group of 27 mice was given a high dosage of chemotherapy while the second group of 30 mice was given a low dosage of chemotherapy. After forty days, the first group had an average tumor size of 0.51cc with a variance of 0.10; the second group had an average tumor size of 0.64cc with a variance of 0.045. Were the tumor sizes of group 1 significantly smaller than those of group 2? What is the observed test statistic?
Several bakeries in a town were asked the price for different amounts of donuts at their shop. The scatter plot with Total Cost (in dollars) 876543 ~ TO 0 0 1 Donut Pricing 2 3 4 5 Number of Donuts 6 7 8 line of best fit was created from the data gathered. Part A: Estimate the correlation coefficient. Explain your reasoning for the given value. Part B: How many positive and negative residuals are there? Explain your reasoning. Part C: State the point with the largest absolute value residual and interpret the point in terms of the context of the data.
17) Suppose that Y is normal and we have three explanatory unknowns which are also normal, and we have an independent random sample of 41 members of the population, where for each member, the value of Y as well as the values of the three explanatory unknowns were observed. The data is entered into a computer using linear regression software and the output summary tells us that R-square is 0.9, the linear model coefficient of the first explanatory unknown is 7 with standard error estimate 2.5, the coefficient for the second explanatory unknown is 11 with standard error 2, and the coefficient for the third explanatory unknown is 15 with standard error 4. The regression intercept is reported as 28. The sum of squares in regression (SSR) is reported as 90000 and the sum of squared errors (SSE) is 10000. From this information, what is the number of degrees of freedom for the t-distribution used to compute critical values for hypothesis tests and confidence intervals for the individual…
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A manufacturing company is interested in buying one of two different kinds of machines for production purposes. The first machine was run for 20 hours. It produces on average of 40 items per hour with variance of 8 items2. The second machine was run for 15 hours. It produces on average 50 items per hour with variance of 10 items2. Assume that the production per hour for each machine is (approximately) normally distributed and there a homogeneity between the populations' variances of the number of items produced by the 2 machines Compute 90% confidence interval for the difference between the two means. What is the tabulated value What is the S.E value What Is the lower and upper bound
Bivariate data obtained for the paired variables x and y are shown below, in the table labeled "Sample data." These data are plotted in the scatter plot in Figure 1, which also displays the least-squares regression line for the data. The equation for this line is y = 14.87+0.88x. In the "Calculations" table are calculations involving the observed y-values, the mean y of these values, and the values y predicted from the regression equation. Sample data Calculations 160+ x y (x-1)² (-5)² (v-^^)² 150+ 107.2 110.7 396.0100 457.7032 2.2320 122.0 130.3 140- 0.0900 70.0569 65.1249 131.5 122.1 130- 72.2500 0.0001 72.0801 142.5 129.9 120. 0.4900 93.5089 107.5369 152.5 160.0 110- 864.3600 341.1409 119.4649 Send data to Excel LL 130 130 140 150 160 Column sum: 1333.2000 Column sum: 962.4100 Column sum: 366.4388 Figure 1 Answer the following. (a) The least-squares regression line given above is said to be a line that "best fits" the sample data. The term "best fits" is used because the line has an…
Amount of brake fluid can affect the breaking time of a vehicle. Engineer Nsiah conducts an experiment to determine if this statement is true. The breaking time data for the trials for different levels of brake fluid as presented in table below. i) Obtain the linear regression model for the given data ii) Compute the correlation coefficient, r iii) Find the Breaking time given the amount of oil is 45cm2 Amount of 20 10 30 40 60 50 oil(cm3) Braking time(s) 9. (iv) The coefficient of determination, r for the given data 3.
Suppose we run the following OLS regression JobStr B1 + B2 M + B3 Exp+ B4 Edu + u %3D to explain an individual's job stress level by their gender (M for male dummy), work experience (Exp) and education (Edu), using a sample of 300 observations. Suppose that the F statistic for the joint significance of the model is 30 and the RSS of the fitted model is 250. What is the TSS of the model?

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