Mathematics, 11.10.2019 16:00, heyitzmeamelie

Aset of data has the following linear regression equation: = 1 + 3x what does the equation predict for a value of x = 15?

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Mathematics, 17.07.2019 06:40, Bryoh

Find the equation of the regression line for the given data. then construct a scatter plot of the data and draw the regression line. (the pair of variables have a significant correlation.) then use the regression equation to predict the value of y for each of the given x-values, if meaningful. the number of hours 6 students spent for a test and their scores on that test are shown below. x 0 2 3 3 5 6 y 39 46 52 45 62 70

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Business, 23.07.2019 00:20, ayoismeisalex

In 2011 home prices and mortgage rates dropped so low that in a number of cities the monthly cost of owning a home was less expensive than renting. the following data show the average asking rent for 10 markets and the monthly mortgage on the median priced home (including taxes and insurance) for 10 cities where the average monthly mortgage payment was less than the average asking rent (the wall street journal, november 26–27, 2011). city rent ($) mortgage ($) atlanta 840 539 chicago 1062 1002 detroit 823 626 jacksonville, fla. 779 711 las vegas 796 655 miami 1071 977 minneapolis 953 776 orlando, fla. 851 695 phoenix 762 651 st. louis 723 654 a. develop a scatter chart for these data, treating the average asking rent as the independent variable. does a simple linear regression model appear to be appropriate? b. use a simple linear regression model to develop an estimated regression equation to predict the monthly mortgage on the median priced home given the average asking rent. construct a plot of the residuals against the independent variable rent. based on this residual plot, does a simple linear regression model appear to be appropriate? c. using a quadratic regression model, develop an estimated regression equation to predict the monthly mortgage on the median-priced home, given the average asking rent. d. do you prefer the estimated regression equation developed in part a or part c? create a plot of the linear and quadratic regression lines overlaid on the scatter chart of the monthly mortgage on the median-priced home and the average asking rent to you assess the two regression equations. explain your conclusions

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Mathematics, 27.07.2019 06:10, celi1236

Atrend forecast equation is being developed to describe sales over time. the analyst has completed the tabulation using the raw data and is about to develop the forecast equation with the least squares equations. use the calculated trend information tabled below to calculate the simple linear regression equation (hint: for y = a + bx, find the values of a and b). number of periods, n = 5 ybar = 5 xbar = 3 sum ( x2 ) = 55 sum ( xy ) = 80 the calculated linear regression equation is:

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Business, 28.08.2019 19:30, LilFreaky666

The following data were collected during a study of consumer buying patterns: observation x y observation x y 1 15 74 818 78 2 25 80 914 70 3 40 84 1015 72 4 32 81 1122 85 5 51 96 1224 6 47 95 1333 90 7 30 83 a. plot the data. b. obtain a linear regression line for the data. c. what percentage of the variation is explained by the regression line? d. use the equation determined in part b to predict the expected value of y for x = 41.

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Aset of data has the following linear regression equation: = 1 + 3x what does the equation predict...

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