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- What is the row-echelon form of a matrix? What is a leading entry?For the data in the following matrix: No Treatment Treatment Male 8 3 Overall M = 5.5 Female 4 4 Overall M = 4 Overall M = 6 Overall M = 3.5 Which two means are compared to determine whether there is a main effect of treatment? Is there a treatment by gender interaction? Do the effects of treatment on the scores depend on the levels of gender( do the effects of treatment on the scores are different in males and females? If so, explain the interaction, include the corresponding means in your explanation.For the data in the following matrix No treatment Treatment Female 8 14 11 Male 4 10 7 6 12 A) Which two means are compared to describe the treatment main effect? B) Which two means are compared to describe the gender main effect? C) Is there an interaction between gender and treatment? Explain your answer.
- The following matrix shows the bivariate correlations for houses with garages. Baths Beds Sqft Age Price Baths 1 Beds 0.591 1 Sqft 0.696 0.626 1 Age -0.427 -0.133 -0.069 1 Price 0.643 0.374 0.767 -0.099 1 Baths: # of bathrooms in the house Beds: # of bedrooms in the house Sqft: # of square feet in the house Age: age of the house in years Price: selling price of house Answer the following: a) Do older houses with garages sell for lower or higher prices than newer houses with garages on average? Are older houses with garages smaller or larger than newer houses with garages on average? b) Is the correlation between baths and age weaker or stronger than correlation between beds and price? c) Is the correlation between age and sqft weaker or stronger than the correlation between age and price?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.Refer to the Baseball 2018 data given below, which report information on the 30 Major League Baseball teams for the 2018 season. Let the number of games won be the dependent variable and the following variables be independent variables: team batting average, team earned run average (ERA), number of home runs and whether the team plays in the American or National league (American League is 1 and National League is 0). a. Develop a correlation matrix. (i) Which independent variables have strong or weak correlations with the dependent variable. (ii) Do you see any problems with multicollinearity? Explain your answer. b. Use Excel to determine the multiple regression equation. (i) Write out the regression equation and determine its practical application (i.e., interpret the equation). (ii) Report and interpret the R-square. c. Conduct a global test on the set of independent variables. Interpret. d. Conduct a test of hypothesis on each of the independent variables. Would…
- Refer to the Baseball 2018 data given below, which report information on the 30 Major League Baseball teams for the 2018 season. Let the number of games won be the dependent variable and the following variables be independent variables: team batting average, team earned run average (ERA), number of home runs and whether the team plays in the American or National league (American League is 1 and National League is 0). a. Develop a correlation matrix. (i) Which independent variables have strong or weak correlations with the dependent variable. (ii) Do you see any problems with multicollinearity? Explain your answer. b. Use Excel to determine the multiple regression equation. (i) Write out the regression equation and determine its practical application (i.e., interpret the equation). (ii) Report and interpret the R-square. c. Conduct a global test on the set of independent variables. Interpret. d. Conduct a test of hypothesis on each of the independent variables. Would…Which of the independent variables retains the strongest association with the number of children a respondent has when all other variables in the model are controlled?Most sports injuries are immediate and obvious, like a broken leg. However, some can be more subtle, like the neurological damage that may occur when soccer players repeatedly head a soccer ball. To examine long-term effects of repeated heading, Downs and Abwender (2002) examined two different age groups of soccer players and swimmers. The dependent variable was performance on a conceptual thinking task. Following is a hypothetical ANOVA table and matrix of means, similar to the research results. College Older Soccer M = 9 M = 4 Swimming M = 9 M = 8 Describe the results of this study (each main effect and interaction). State the statistics (just the #’s) as they would appear in a research report (each main effect and interaction).
- A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: City Price ($) Sales River City 1.30 100 Hudson 1.60 90 Ellsworth 1.80 90 Prescott 2.00 40 Rock Elm 2.40 38 Stillwater 2.90 32 What is the coefficient of correlation for these data? -0.7839 0.8854 0.7839 -0.88541. When looking at the matrix for a two-way ANOVA, which means (row, column, or cell means) do we look at to assess if there is an interaction effect? A row and column means B just row means C just column means D cell means 2. A marketing company wanted to test what makes people purchase cereal more and tested box size and flashy graphics. Which of the following would be considered responsible for the main effects of this study? a the results of each box size and flashy graphics b the results for only box size c the results for only flashy graphics d behavior of purchasing cereal 3. A dentist wanted to test the effect of a new mouthwash and wondered how many seconds people would have to gargle in order for their breath to feel fresh. She had patients gargle the mouthwash for 10, 20 and 40 seconds (number of seconds; Factor A). She also wanted to know if there was age level (Factor B) interacted with number of…A researcher interested in the correlation between family size X annual income Y and parental education level Z produces the following correlation matrix x. y. z x +1.00. +0.32. +0.56 y. +0.32. +1.00. +0.88 z. +0.56. +0.88. +1.00 What is the correlation between annual income and parental education level?