Mathematics

Mathematics, 05.07.2019 10:20, abbygriffin2009

Attempting to use the regression equation to make predictions beyond the range of the data is called

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Mathematics, 23.06.2019 09:10, gaby8282

** will make brainlist **what is the quadratic regression equation for the data set? what is the quadratic regression equation for the data set?

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Mathematics, 29.07.2019 20:30, irlShadow

Rue or false? using the regression equation to make predictions for values of the predictor variable outside the range of the observed values of the predictor variable is risky and unreliable.

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Mathematics, 06.08.2019 22:20, tahiyazaman1493

If the rank correlation test is used with paired sample data, and the conclusion is that there is sufficient evidence to support the claim of a correlation between the two variables, can linear regression methods be use to find the regression equation that can be used for predictions? why or why not? fill in the blanks to complete the paragraph. the methods of linear regression ▼ can be used should not be used for predictions. the regression equation is based on ▼ any correlation a linear correlation between the two variables, but the methods of rank correlation ▼ do not require require a linear relationship.

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Mathematics, 25.10.2019 18:43, vanessasanmarti8630

Simpson’s paradox and regression. simpson’s paradox occurs when a relationship between variables within groups of observations reverses when all of the data are combined. the phenomenon is usually discussed in terms of categorical variables, but it also occurs in other settings. here is an example: datadata datadata data datadata data data data datadata data data data datadata data data data datadata data data data datadata data data data datadata data data data datadata data datadata data data data d a t a f i l e simpsonreg yx group yx group 10.1 1 1 18.3 6 2 8.9 2 1 17.1 7 2 8.0 3 1 16.2 8 2 6.9 4 1 15.1 9 2 6.1 5 1 14.3 10 2 (a) make a scatterplot of the data for group 1. (b)-find the least squares regression line and add it to your plot. (c)-describe the relationship between y and x for group 1. (d)-do the same for group 2. (e)-make a scatterplot using all 10 observations. find the leastsquares line and add it to your plot. (df)-make a plot with all of the data using different symbols for the two groups. include the three regression lines on the plot. write a paragraph about simpson’s paradox for regression using this graphical display to illustrate your description.

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