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Question: I want to know how this problem could solve using formula



Question: I want to know how this problem could solve usingformula

I want to know how this problem could solve using
formula

Show transcribed image text st saved by user) [Compatibility Mode] Word References Mailings Rview ie Dgn Layout A realtor wanted to determine if there was a relationship between the size (in 100 square feet) of a new custom-built home and the price (in thousands of dollars) of the home. 16. Draw a scatter plot. a. b. Determine the regression line equation and plot the regression line on the scatter plot. Give a brief explanation of the type of relationship indicated by the e. regression. d. Is the correlation coefficient significantly different from zero? e. Is the slope coefficient significantly different from zero? f. What is the r2 for this regression? g. What percentage of the variation in price can be explained by the variation in size? h. What is the coefficient of non-determination for this regession? i. What is the predicted price of a 4000 square foot home Size,x Price, y 26 235 7273 41 9253 33 /295 387 34 335 36 45 475 22 203 395

st saved by user) [Compatibility Mode] Word References Mailings Rview ie Dgn Layout A realtor wanted to determine if there was a relationship between the size (in 100 square feet) of a new custom-built home and the price (in thousands of dollars) of the home. 16. Draw a scatter plot. a. b. Determine the regression line equation and plot the regression line on the scatter plot. Give a brief explanation of the type of relationship indicated by the e. regression. d. Is the correlation coefficient significantly different from zero? e. Is the slope coefficient significantly different from zero? f. What is the r2 for this regression? g. What percentage of the variation in price can be explained by the variation in size? h. What is the coefficient of non-determination for this regession? i. What is the predicted price of a 4000 square foot home Size,x Price, y 26 235 7273 41 9253 33 /295 387 34 335 36 45 475 22 203 395

  

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