are 2 and 3 correct 2) Find the equation of the least squares line.The paired data...
What are the steps for the correct answer? Find the value of the linear correlation coefficient r. The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands) 35 83 Cost 92 3 4259 10 Number 85 52 55 68 67 86 83 73 O A.-0.071 O B. 0.708 O c. 0.235 OD. 0.246
The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands): Cost 9 4 2 3 Number 85 68 53 55 Find the value of the linear correlation coefficient r. O 0.9703 O 0.708 O 0.235 O 0.246
Question 10 6 pts The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands): Cost 9 4 2 3 Number 85 68 53 55 Find the value of the linear correlation coefficient r. 0.246 0.708 0.9703 0.235
7) Compute the least-squares regression equation for the given data set. Use a TI- 84 calculator. Round the slope and y -intercept to at least four decimal places. x 44 38 16 20 25 38 19 y 73 68 24 30 43 66 33 Send data to Excel Regression line equation: = y 8) Price of eggs and milk: The following table presents the average price in dollars for a dozen eggs and a gallon of milk for each month...
Given the following data, use least-squares regression to derive a trend equation: Period 1 2 3 4 5 6 Demand 6 8 5 8 7 13 The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places): y = ? + ?x where y = demand and x = period
9. Find the equation of the least squares parabola for the following data: (0,2), (1,2), (2, 4), (3,9) Then make a table that displays data point x-values, data point y-values, and the least square parabola values at data point r-values.
Method of Least Squares, Evaluation of Cost Equation Lassiter Company used the method of least squares to develop a cost equation to predict the cost of moving materials. There were 80 data points ft the regression, and the following computer output was generated: Intercept $19,050 Slope Coefficient of correlation 0.91 Standard error $220 The activity driver used was the number of moves. Required: 1. What is the cost formula? 2. Using the cost formula, predict the cost of moving materials...
6) Compute the least-squares regression line for predicting y from x given the following summary statistics. Round the slope and y -intercept to at least four decimal places. = x 8.8 = s x 1.2 = y 30.4 = s y 16 = r 0.60 Send data to Excel Regression line equation: = y 7)Compute the least-squares regression equation for the given data set. Use a TI- 84 calculator. Round the slope and y -intercept to at least four decimal...
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...
5. (2 points) When a least-squares linear regression equation is constructed based upon a data set, and a line is constructed from this equation, which (Gif any) of the following is a. The point (F,) must be on the regression line. b. The point (0,b) must be on the regression line. c. The point (0,b) must be on the regression line. d. None of the above statements are false. All of the above statements are true. ons for ss is...