Answer the questions with the data on picture, please.  a)  Determine the sample correlation coefficient rxy b)  Determine the sample regression equation: y= b0+b1x c) Compute the coefficient of determination. d) What is the predicted explanatory value if the response value is 8?

An electronics retailer would like to investigate the relationship between the selling price of a certain digital camera model and the demand for it. The accompanying table shows the weekly demand for the camera in one particular market along with the corresponding price. Determine the sample correlation coefficient between the selling price and the demand for this camera. Click the icon to view the demand and price data. r = (Round to three decimal places as needed.) Demand and Price Demand Price 18 320 19 330 15 340 15 350 12 360 12 370 8 380 Print Done

Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a = 0.01. Click to view the data on shoe print lengths and heights. Construct a scatterplot. Choose the correct graf Shoe Print Lengths versus Heights of Males O B. OD. 210- 200- 190- 180- 170- 160- 20 24 28 32 36 40 Shoe Print Length (cm) 210 200 190 180 170 160 2101 200- Shoe Print 190- Length (cm) Height (cm) 176.0 180- 170- 160- 20 24 28 32 36 40 31.4 28.9 181.2 31.5 194.5 Shoe Print Length (cm) 32.3 172.9 30.4 174.0 The linear correlation coefficient is r= 32.9 190.5 (Round to three decimal places as needed.) 31.0 176.6 30.8 170.0 30.5 171.9 32.3 175.5 30.5 200.1 32.6 199.3…

Please use the values from the given r values and assign the accurate value to the plots A,B,C, or D.

d) Correlation by eye Sample size=45 y 20- 15- og 8. 10- 5. 10 15 20 25 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: Sample coeficient of correlation a o 00 00

Construct a scatter plot for the following data set. Solve for the correlation coefficient, r. Show your work and explain the steps you used to solve. Round your answer to the nearest thousandth. I 2 3 4 4 3 2 1

Statistics Question

The table below shows the number of composition notebooks and the corresponding costs. The cost per composition notebook is ₱25. Solve for the Pearson Product Movement Correlation Coefficient and construct a scatterplot.   number of composition notebooks (x) 1 2 3 4 5 6 cost per composition notebook (y) 25 50 75 100 125 150   Solution:       Listed below are heights in centimeters and weights in kilograms of six teachers. Solve for the Pearson Product Movement Correlation Coefficient and construct a scatterplot.   Teacher A B C D E F Height (in cm) 160 162 167 158 167 170 Weight (in kg) 50 59 63 52 65 68   Solution:

Use the data to the right to complete parts (a) through (d) below. Percentage Who Won't Try Don't Approve of Sushi Marriage Equality Generation Millennials y 32 39 Gen X Boomers Silent/Greatest Generation 54 52 61 55 69 66 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality. (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. O B. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. C. Unwillingness to try sushi and disapproval of marriage equality have no correlation. O D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of…

Which correlation would allows for the best prediction of Y based on X? Group of answer choices r = .50 r = .80 r = .05 r = -.90