Calculating the equation of a regression line
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Khan Academy
Calculating the equation of a regression line
We determine the correlation coefficient for bivariate data, which helps understand the relationship between variables. We then build the equation for the least squares line, using standard deviations and the correlation coefficient. The regression line equation y hat = mx + b is calculated.
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using your favorite statistics software package you generate a scatter plot with a regression equation and correlation coefficient the regression equation is reported as y 8031 x 1037 and the r 0695 w
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[GET ANSWER] Use the data shown in the table. Replace each x-value and y-value in the table with its logarithm. Find the equation of the regression line for the transformed data. Thenconstruct a scatter plot of (log x, log y) and sketch the regression line with it. What do you notice?Xy162322543172Find the equation of the regression line of the transformed data.log y = log x (Round to three decimal places as needed.)41075104636739842
[GET ANSWER] Use the data shown in the table. Replace each x-value and y-value in the table with its logarithm. Find the equation of the regression line for the transformed data. Thenconstruct a scatter plot of (log x, log y) and sketch the regression line with it. What do you notice?Xy162322543172Find the equation of the regression line of the transformed data.log y = log x (Round to three decimal places as needed.)41075104636739842
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using your favorite statistics software package you generate a scatter plot with a regression equation and correlation coefficient the regression equation is reported as y 8031 x 1037 and the r 0695 w
using your favorite statistics software package you generate a …
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[GET ANSWER] Use the data shown in the table. Replace each x-value and y-value in the table with its logarithm. Find the equation of the regression line for the transformed data. Thenconstruct a scatter plot of (log x, log y) and sketch the regression line with it. What do you notice?Xy162322543172Find the equation of the regression line of the transformed data.log y = log x (Round to three decimal places as needed.)41075104636739842
[GET ANSWER] Use the data shown in the table. Replace each x-value …
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