its a positive relation between x and y
11. Use the following table to answer the questions х Y 7 18 8 23 10...
8 11. Use the following table to answer the questions Х Y 7 18 23 10 28 13 32 14 37 16 41 20 45 26 52 a. Make a scatterplot and determine the relationship between X and Y b. Find the linear regression equation Y' =(round a and b to the nearest hundredth ) c. Find r and to the nearest hundredth d. Use the equation found in part b to determine X to the nearest whole number when...
11. Use the following table to answer the questions Х Y 7 18 8 23 10 28 13 32 14 37 16 41 20 45 26 52 a. Make a scatterplot and determine the relationship between X and Y b. Find the linear regression equation Y1 = (round a and b to the nearest hundredth ) c. Find r and to the nearest hundredth d. Use the equation found in part b to determine X to the nearest whole number...
show work 23 11. Use the following table to answer the questions Y 7 18 8 10 28 13 32 37 16 41 20 45 26 52 a. Make a scatterplot and determine the relationship between X and Y b. Find the linear regression equation Y' (round a and b to the nearest hundredth) c. Find r and to the nearest hundredth d. Use the equation found in part b to determine X to the nearest whole number when Y'...
11. Use the following table to answer the questions X Y 7 18 8 23 10 28 13 32 37 16 41 20 45 52 14 26 a. Make a scatterplot and determine the relationship between X and Y b. Find the linear regression equation Y' = (round a and b to the nearest hundredth ) c. Find r and r’ to the nearest hundredth d. Use the equation found in part b to determine X to the nearest whole...
Consider the following sample data: x 32 23 18 36 13 40 35 24 y 31 37 34 60 25 45 43 38 Click here for the Excel Data File b. Calculate b1 and b0. What is the sample regression equation? (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) yˆy^ + x c. Find the predicted value for y if x equals 11, 16, and 21. (Round intermediate coefficient values and final answers to...
last year paper , solve Use the following for questions 26-33 The following output is a multiple linear regression analysis used to model a general respanse variable with several explanatory variables (n 104) Scatterplot Matrix response 26. Which statement is FALSE from the scatterplot x.1 matrix? x.2 o There is a strong linear relationship between x.2 and x.3. x.3 o The variable x.3 is categorical variable. O There is strong negative association between x.2 and the response. O There are...
The following data were collected during a study of consumer buying patterns: V Observation Observation y 74 83 86 82 99 95 84 16 23 45 15 18 13 23 20 31 79 74 67 89 10 11 12 13 31 52 50 28 92 87 b. Obtain a linear regression line for the data. (Round your intermediate calculations and final answers to 3 decimal places.) 0.517 x 69.407 y= + c. What percentage of the variation is explained by...
* 1 10 7 23 19 4450 4456 10 20 a. Choose the correct scatter diagram for these data: ayl 60+ 10 20 30 40 50 60 10 20 30 40 50 60 Cy! 20. - 10 20 30 40 50 60 10 20 30 40 50 60 b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a - Select your answer - linear relationship between 2...
eBook Given are five observations for two variables, and y. 2 1 13 7 18 Yi 57 46 58 13 16 26 b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a negative linear relationship between 2 and y. C. Try to approximate the relationship between 2 and y by drawing a straight line through the data. Only one straight line can be drawn to provide a...
An artide gave a scatter plot along with the least squares line of x -rainfall volume (m3) and y runoff volume (m3) for a particular location. The accompanying values were read from the plot. x14 12 14 17 23 30 40 52 55 67 72 85 96 112 127 y14 10 13 15 15 25 27 45 38 46 53 71 82 99 100 (a) Does a scatter plot of the data support the use of the simple linear regression...