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- During the graphical analysis of the data below, two different curves were fitted to the data using the least squares method. The curves are as follows. Decide which curve is more suitable by calculating the correlation coefficients.Given that the σ_AB= σ_BA, then the variance-covariance matrix for a portfolio with 50 stocks requires the calculations of ____ variances and ____ covariances.Researchers asked each child in a sample of 411 school-age children if they were more or less likely to purchase a lottery ticket at a store if lottery tickets were visible on the counter. The percentage that said that they were more likely to purchase a ticket by grade level are as follows: Grade Percentage that said theywere more likely to purchase 6 32.4 8 46.8 10 74.7 12 83.5 Find the equation of the least-squares line, where y = percentage who said they were more likely to purchase and x = grade. (Give the answer to two decimal places.) =
- Suppose that weights of college mathematics textbooks in the United States are normally distributed with mean µ = 2.25 lbs and variance σ2 = 0.2025 lbs. Find the weight that corresponds to Q3 and interpret this measure of position in the context of the problem.Illustrate graphically and explain how each of the following factors would affect the demand or supply for Nike factory workers: · Assuming that the market for Nike factory workers is perfectly competitive, what would be the impact on wages and the number of Nike factory workers employed?" 1. The demand for new sports shoes has increased as more people are concerned about their health. 2. Increased training makes workers more skilled and productive. 3. The COVID-19 pandemic is likely to interrupt the production process of Nike. 4. A larger number of professional workers are interested in working in factories.Three varieties A, B, C are tried in 3X3 Latin Square Design and the yield per plot is obtained as follows. Take data and the analyze according to given conditions column column column row A 8 B 9 C 7 row B 11 C 8 A 6 row C 12 A 7 B 8 Test the hypothesis that varieties have same yield? Are the rows and columns effective in reducing the error variance? If the same experiment is repeated 3 times and results of the other two Latin Squares are A 11 B 9 C 13 B 12 C 10 A 11 C 9 A 12 B 8 A 10 B 11 C 12 B 10 C 9 A 11 C 11 A 14 B 15 Use multiple Latin Square and Cross Over Designs to analyze data taken according to your study area? kindly provide the answer of just part 3.
- Three varieties A, B, C are tried in 3X3 Latin Square Design and the yield per plot is obtained as follows. Take data and the analyze according to given conditions column column column row A 8 B 9 C 7 row B 11 C 8 A 6 row C 12 A 7 B 8 Test the hypothesis that varieties have same yield? Are the rows and columns effective in reducing the error variance? If the same experiment is repeated 3 times and results of the other two Latin Squares are A 11 B 9 C 13 B 12 C 10 A 11 C 9 A 12 B 8 A 10 B 11 C 12 B 10 C 9 A 11 C 11 A 14 B 15 Use multiple Latin Square and Cross Over Designs to analyze data taken according to your study area?Three varieties A, B, C are tried in 3X3 Latin Square Design and the yield per plot is obtained as follows. Take data and the analyze according to given conditions Column Column Column Rows A 9 B 10 C 8 Row B 12 C 9 A 7 Row C 13 A 8 B 9 Test the hypothesis that varieties have same yield? Are the rows and columns effective in reducing the error variance? If the same experiment is repeated 3 times and results of the other two Latin Squares are A 12 B 10 C 14 A 11 B 12 C 13 B 13 C 11 A 12 B 11 C 10 A 12 C 10 A 13 B 9 C 12 A 15 B 16 Use multiple Latin Square and Cross Over Designs to analyze data taken according to your study area?A two-factor, independent-samples design is evaluated using an analysis of variance. The F-ratio for factor A has df = (2, 99) and the F-ratio for factor B has df = (2, 99). Based on this information, the degrees of freedom for A x B interaction would be df = (censored, ____________). Fill in the blank for the second value.
- A regional distributor of NIKE shoes is in the process of analyzing the factors that influence thedemand for the NIKE brand. The distributor hired an economist to conduct a study on the demand for this product. The economist collected quarterly time series data from 1986Q1 to 1991Q4 on the following variables:SALES Sales of NIKE shoesRPDI Real personal disposal incomeCONF Consumer confidence indexD2 Dummy variable for quarter 2D3 Dummy variable for quarter 3D4 Dummy variable for quarter 4Ordinary Least Squares was applied using sales as the dependent variable and real personal disposal income, consumer confidence index, dummy variable for quarter 2, dummy variable for quarter 3, and dummy variable for quarter 4 as independent variables. The table below shows the OLS output.Model 1: OLS, using observations 1986:1-1991:4 (T = 24)Dependent variable: SALESCoefficient Std. Error t-ratio p-valueconst −139.452 61.8421 −2.255 0.0368 **RPDI 1.56286 0.438492 3.564 0.0022 ***CONF 0.256247…A regional distributor of NIKE shoes is in the process of analyzing the factors that influence thedemand for the NIKE brand. The distributor hired an economist to conduct a study on the demand for this product. The economist collected quarterly time series data from 1986Q1 to 1991Q4 on the following variables:SALES Sales of NIKE shoesRPDI Real personal disposal incomeCONF Consumer confidence indexD2 Dummy variable for quarter 2D3 Dummy variable for quarter 3D4 Dummy variable for quarter 4Ordinary Least Squares was applied using sales as the dependent variable and real personal disposal income, consumer confidence index, dummy variable for quarter 2, dummy variable for quarter 3, and dummy variable for quarter 4 as independent variables. The table below shows the OLS output.Model 1: OLS, using observations 1986:1-1991:4 (T = 24)Dependent variable: SALESCoefficient Std. Error t-ratio p-valueconst −139.452 61.8421 −2.255 0.0368 **RPDI 1.56286 0.438492 3.564 0.0022 ***CONF 0.256247…A survey of high school students was done to examine whether students had ever driven a car after consuming a substantial amount of alcohol (1=yes, 0=no). Data was collected on their sex (male/female), race (White/non-White), and grade level (9,10,11,12). Researchers realized that the impact of race on consuming alcohol before driving might vary by grade level and decided to fit the following model. Variable Coding = 1 if Intercept Sex () Female Race () Black Grade level ( 9th grade 10th grade 11th grade [Reference = 12th grade] Attached is the logistic model 1. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 9th grade, adjusting for gender. 2. Compute the OR of drinking before driving for students who self-reported as Black versus non-Black in the 12th grade, adjusting for gender. 3. Compute the OR of drinking before driving for someone in the 9th grade versus 12th grade for a student who…