For the following questions, determine if there is a main effect of Factor A, a main effect of Factor B, and/or an interaction. Select all that apply. Question 6 Factor B B1 B2 A1 5 5 Factor A P2 A2 5 5 DV 8 9 6 76 Note: both lines in the graph are overlapping. Main Effect of A O Main Effect of B Interaction ○ None 5 4 32 1 0 A1 Factor A 22 A2 B1 B2
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- Could you help explain how you find z = -2.326 from the z table, please? Thank you. Much appreciated!The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 64.49590764.495907 5.9533305.953330 10.83358510.833585 0.0000370.000037 Hours Unsupervised −0.974079−0.974079 1.1097971.109797 −0.877709−0.877709 0.4138620.413862 Hours Playing Video Games 4.9768084.976808 1.0636721.063672 4.6788924.678892 0.0034000.003400 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables…The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Write the multiple regression equation for the computer output given. Round your answers to three decimal places.
- d) Explain the meaning of the coefficient of gender (how does gender affect salary?). Does this variable have a significant impact on income level at a= .05? How do you get this conclusion? For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph 10pt A *回GQ Arial +, Ω 田 田 田The following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Coefficients Standard Error t-Stat p-value Intercept 57.968435 7.227955 8.020032 0.000201 Hours Unsupervised 5.131630 1.314283 3.904510 0.007943 Hours Playing Video Games 1.067855 1.615039 0.661194 0.533040 Indicate if any of the independent variables could be eliminated at theThe following table was generated from the sample data of 1010 junior high students regarding the average number of hours they are unsupervised per night, the average number of hours they play video games per night, and their final grades in their math class. The dependent variable is the final grade, the first independent variable (x1x1) is the number of hours unsupervised each night, and the second independent variable (x2x2) is the number of hours of video games each night. Intercept 64.821745 4.918050 13.180375 0.000012 Hours Unsupervised -1.691108 1.396989 -1.210538 0.271590 Hours Playing Video Games 6.796882 1.515248 4.485657 0.004167 Step 1 of 2: Write the multiple regression equation for the computer output given. Round your answers to three decimal places. Step 2 of 2: Indicate if any of the independent variables could be eliminated at the 0.050.05 level of significance.
- I need help with this question 1. is the factor interaction significant? explainA researcher is interested in studying how the number of books parents read to their children can influence a child's reading skills in kindergarten. She randomly assigns families with 5 year old children to either read their child 3 books per day, 2 book per day, or 1 book per day for the first 2 months of kindergarten. They then measure the children's reading ability. How could the confound be fixed for this scenario? Be sure to tell me what technique you are using (constancy, repeated measures, randomization, elimination, or balancing), as well as how you would apply that technique to this specific scenario, and how that would fix this confound.Based on the imaginary scenario, identify which variable is an effect modifier: Taking a drug A causes patients to be 3 times more likely to fall asleep unexpectedly compared to those who do not take drug A. Those who take drug A and drink alcohol are 6 times more likely to fall asleep unexpectedly compared to those who do not take drug A and those who take drug A and do not drink alcohol are 2 times more likely to fall asleep unexpectedly compared to those who do not take drug A. Which variable is the effect modifier? Alcohol Smoking Fall asleep unexpectedly Drug A
- The Minister responsible for Trade and Industry has assigned you the task of evaluating the improvement in productivity ofmanufacturing businesses in South Africa. Data for one of the businesses you are to evaluate is provided. The data are themonthly average of last year and the monthly average for this year. Determine the percentage change in multi-factorproductivity between the two years.Labor: R8 per hourCapital: 0.83% per month of investmentEnergy: R0.60 per BTUCheck whether the representation of pets in the population is different from: dog 41%, cat 33%, fish 10%, other 16%. α = 0.05. I am sending a screenshot with only one PART of the data in the attachmentThe r code for side by side boxplot of vitamind v newage and vitamin d v country. Scatterplot code for relationship between vitamin d level and age.