Create a scatterplot with the height on the x-axis and the weight on the y-axis. Find the correlation coefficient between the height and the weight.  What does the correlation coefficient tell you about your data? Construct the equation of the regression line and use it to predict the weight of a person who is 68 inches tall. PERSON WEIGHT HEIGHT (INCHES) Person 1 160 62 Person 2 180 67 Person 3 187 68 Person 4 202 71 Person 5 142 65 Person 6 201 65 Person 7 150 66 Person 8 133 62 Person 9 120 64

please assist with this non graded assisnment. A tutor provided me with incorrect answers so I am resubmitting my question.

Roller coasters get their speed as a result of dropping down a steep incline. The table below gives height of a drop and the speed achieved for different roller coasters around the world. Drop in Meters (m        25      30       28        58      55      40      90      100 Speed of the coaster (k.p.h)           80           90             78            93          90         93        105       128   Have your calculator find the linear regression for the roller coaster data above. Write the linear model, clearly define the variables and state correlation coefficient and clearly interpret the slope.                   Use the model to find the drop height that will result in a coaster speed of 150 kph.     Have your calculator find the exponential regression for this data. Write the exponential model, clearly define the variables and state correlation coefficient.       Use the model to find the drop height that will result in a…

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−36.16x+83.35y=-36.16x+83.35and the r=−0.945r=-0.945.What proportion of the variation in y can be explained by the variation in the values of x?r² = %Report answer as a percentage accurate to one decimal place.

The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis.   Which of the following is the best interpretation of the coefficient of determination r2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=98.15x+95.04y=98.15x+95.04and the r=0.73r=0.73.What proportion of the variation in y can be explained by the variation in the values of x?r² = %Report answer as a percentage accurate to one decimal place.

Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion).  Use the horizontal axis for the customer age to graph.  Find the linear regression line that models the data by each type of customer.  Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales.  What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y  / Change in x

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=43.25x+19.44y=43.25x+19.44and the r=0.98r=0.98.What proportion of the variation in y can be explained by the variation in the values of x?r² = %

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−71.12x+92.48y=-71.12x+92.48and the r=−0.571r=-0.571.What proportion of the variation in y can be explained by the variation in the values of x?r² = %Report answer as a percentage accurate to one decimal place.

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−89.84x+54.15y=-89.84x+54.15and the r=−0.32r=-0.32.What proportion of the variation in y can be explained by the variation in the values of x?r² = %