Write the regression equation that represents the above equation.  Y = 9.804326378  + 0.65795*X1 + 0.200358 X2  Height of an individual = 9.8043 + 0.6579*Mother's Height + 0.2004* Father's Height     2)Is this a good predictor equation? Why or why not (use appropriate statistics/hypothesis test to prove your point)?

In regards to "Go to Stat > Regression > Regression > Fit a regression model." where is stat?

Please answer as many as your allowed too. Thank you :) A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).The results of the regression were: ˆyy^=a+bxa=-1.68b=0.168 (a) Write the equation of the Least Squares Regression line of the formˆyy^= + x(b) Which is a possible value for the correlation coefficient, rr? -1.417 1.417 0.702 -0.702 (c) If a country increases its life expectancy, the happiness index will increase decrease (d) If the life expectancy is increased by 0.5 years in a certain country, how much will the happiness index change? Round to two decimal places.(e) Use the regression line to predict the happiness index of a country with a life expectancy of 69 years. Round to two decimal places.

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At the Thanksgiving break, I measured the correlation between the pre-class quiz grade and the average grade in the class for all 33 students in my stats classes. Below is the output from those results.   Correlation  Pearson correlation of PreClass and Grade = 0.705630  P-Value = < 0.0001   Regression Equation Grade = 0.24333 + 0.006369 PreClass   (a) What is the slope of the regression equation line?   (b) What does the slope of the line represent in this context?   (c) What is the y-intercept of the regression equation line?   (d) What does the y-intercept of the line represent in this context?

A linear regression model based on a random sample of 36 observations on the response variable and 4 predictors has a multiple coefficient of determination equal to 0.697. What is the value of the adjusted multiple coefficient of determination?