State Debt and Per Capita Taxes Data for per capita state debt and per capita state tax for five randomly selected states are shown. Per capita debt 4529 907 7554 2423 3357 Per capita tax 3478 2054 2818 1645 1430 Send data to Excel The correlation coefficient for the data is r 0.563 and a= 0.05. Should regression analysis be done? The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places, if necessary. y' a+bx a = b = Find y' when X= $1689. Round the answer to at least three decimal places, if necessary. y' =

Help please!

Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression​ line? About the unexplained​ variation? r= -0.438   please dont copy paste the content from other sites

Forest Fires and Acres Burned Numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned for  7  recent years are shown.   Number of fires  x 58 47 84 62 57 72 69 Number of acres burned  y 54 43 80 58 53 68 65 The correlation coefficient for the data is  =r1  and  =α0.05 . Should regression analysis be done?   The regression analysis should not be done.     The regression analysis should be done.     Find the equation of the regression line.   =y′+abx     =a     =b     Find  y′  when  =x50 .     =y′

Prev The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the number of bids an Item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, It would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 28 33 36 42 45 Number of Bids 1 7 8 9 10 Step 3 of 6: Find the estimated value of y when x = 33. Round your answer to three decimal places. Table Copy Data Next

The personnel director of a large hospital is interested in determining the relationship (if any) between an employee's age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 Age 30 50 40 55 30 28 60 25 Sick Days 7 4 3 2 9 10 0 8 Copy Data The estimated regression line and the standard error are given. Sick Days = 14.310162 - 0.2369(Age 9 10 30 45 5 2 Se = 1.682207 Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.

Correlation and Regression Assignment A sample of 10 adult men gave the following data on their heights and weights.   Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 120 140 130 150 142 130 135 175 149 168   Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. State the equation of the regression line.               Find r (correlation coefficient). Interpret the value of r in the context of       this problem.          Find the coefficient of determination, r2. Explain what it means in the context of this problem. Provide examples of other lurking variables that may have an effect on weight besides height.   Use a 1% level of significance to test the claim that ρ > 0. Show all steps of your hypothesis test.   Predict the weight of a man whose height is 60 inches.   (h) Find…