201 Bivariate Regression and Correlation 6 PROBLEMS General Problems 1. For the following data on...
14) Fill in the Blank. You run a regression analysis on a bivariate set of data (n=25). With x(x-bar) -58.2 and "y=42.5 (y- bar), you obtain the regression equation yly-hat) - 3.111x-23.245 with a correlation coefficient of r=-0.095. You want to predict what value (on average) for the response variable will be obtained from a value of 50 as the explanatory variable. What is the best predicted response value, ya = ? Report answer accurate to one decimal place. Fill...
Topic: Linear Regression and Correlation In the table offered the data related to: Income Activities 1,250 35 1,400 38 1.375 31 1,825 45 1,175 20 1,740 39 I. With the biweekly income variables and number of activities carried out by 6 people; find and analyze: a) Linear dispersion diagram? d) Correlation coefficient? c) Perform a null hypothesis test that the correlation coefficients Linear in the universe are not significantly different from zero. Present the six steps learned, with a significance...
Topic: Linear Regression and Correlation In the table offered the data related to: Income Activities 1,250 35 1,400 38 1.375 31 1,825 45 1,175 20 1,740 39 I. With the biweekly income variables and number of activities carried out by 6 people; find and analyze: a) Linear dispersion diagram? b) Correlation coefficient? c) Perform a null hypothesis test that the correlation coefficients Linear in the universe are not significantly different from zero. Present the six steps learned, with a significance...
A sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the employees. A sample of 6 employees was chosen, and the following data were collected. Distance to work (miles) 1 3 4 6 8 10 Number of days absent 8 5 8 7 6 3 a. Which variable is the independent variable? Which variable is the...
please show work 1. Regression and Correlation An experiment was conducted to study the effect of increasing the dosage of a on sleeping time. Three readings were made at each of three dose levels certain barbiturate Sleeping Time (Hours) Dosage (11 μM/kg) 4 10 10 9 15 15 15 13 9 ΣΥ-642, ΣXY = 780 2X 84, ΣΧ2 1002, ΣΧΥ 780 ΣΥ-72, a. Plot the scatter Diagram b. Determine the Correlation Coefficient "r" and the coefficient of determination "R2n c....
1) Data was gathered from several professional golfers in order to determine if there is a relationship between average driving distance (in yards) and accuracy (in percentage). This data is presented in the scatterplot below. Suppose we go on to compute the correlation coefficient, r. In this example, the units of r would be what? A. There are no units B. Yards C. Percentage D. Yards per percentage E. Percentage per yard 2. In a study of academic achievement within...
Place your answers on the templates provided. Show your work. Directions: 1. A doctor knows that muscle mass decreases with age. To help him understand this relationship in women, the doctor selected women beginning with age 40 and ending with age 80. The data is given in the table below. x is age, y is a measure of muscle mass (the higher the measure, the more muscle mass). Use your calculator to make a scatter plot that shows how age...
part 1 is done need help with part 2 please Regression and Correlation Part 1 -Hypothesis test for u a) Use the data provided Perform a complete hypothesis test (show all steps) of Ho: 4 = 42 Use a -.05 Word your conclusion clearly in plain English so that a 14-year-old would understand it. For this part of the assignment, we'll look to see if there's an association between the responses of your two numerical questions PART 2 - Regression...
Question # 3. The following data set records the cost of advertising (in thousands of dollars) and the number of prescriptions written for a new drug (in thousands). Cost (x) 9 2 3 4 2 6 9 10 Number of prescriptions (y) 85 61 64 67 60 75 83 87 Using the above data: (Please use Minitab for parts a, b, d) a) A bivariate (scatter) plot for the data set. (5 points) b) Find the correlation (r) and its...
Problem 5- Simple Linear Regression The following data represent the number of flash drives sold per day at a local computer shop and their prices Price $34 36 32 35 30 Units Sold 6 40 A computer output is produced to examine this relationship further SUMMA RY OUTPUT Regression Statistics Multiple R RSquare Adjusted R Square Standard Error Observations 0.924982 0.855592 0.826711 1.119949 7 ANOVA MS gnificance F Regression Residual Total 137.15714 37.15714 29.62415 0.002842 5 б,271429 1.254286 6 43.42857...