You are conducting a test of independence for the claim that there is an association between the row variable and the column variable.   X Y Z A 20 45 41 B 30 37 42 The expected observations for this table would be   X Y Z A       B       What is the chi-square test-statistic for this data? (2 decimals) χ2=χ2=

Give one method to increase statistical power and Which test statistic should you use if you are comparing two variances?

Research was conducted on the amount of training for 5K and the time a contestant took to run the race. The researcher recorded the number of miles during training ( a 1 month period) and the time to complete the 5K. The results are below. Miles Trained 45 77 37 25 60 64 Time (Minutes) 32.9 28 36.2 27.5 19.5 18.3 a) Give the correlation coefficient. r = b) Give the equation of the regression line. Round the values to 4 deimal places.This is in the form y = ax + b, so the slope goes in the first box and the y-inercept in the 2nd box.y = x + c) Interpret the y-intercept (Explain it's meaning, do not just give its value.)d) Predict the time in the 5K if someone trained 37 miles.Use the rounded values entered for the slope and intercept of the regression line to compute the predicted y-value.y = e) Give the residual for 37 miles trained.This is the actual y value for the runner who trained for miles minus the predicted value.Residual=

Can someone help me out with these questions.

An independent variable X; is not considered highly correlated with the other independent variables if O VIF 0 R-squared > .5 VIF > 5

Consider this set of bivariate data. x 2 3 2 3 y 2 3 1 2 (a) Draw a scatter diagram. (Do this on paper. Your instructor may ask you to turn in this work.) (b) Calculate the correlation coefficient. (Give your answers correct to three decimal places.) 0.707 (c) Calculate the line of best fit. (Give your answers correct to two decimal places.) y hat = + x