tion coefficient. 37. Draw Your Data! Consider the four data sets shown below. 44 ir Data Set 1 Data Set 2 Data Set 3 S Data Set 4 ti x y X y X y X y 10 8.04 10 9.14 10 7.46 8 6.58 8 6.95 8 8.14 8 6.77 8 5.76 13 7.58 13 8.74 13 12.74 8 7.71 9 8.81 9 8.77 9 7.11 8 8.84 11 8.33 11 9.26 11 7.81 8 8.47 14 9.96 14 8.10 14 8.84 8 7.04 6 7.24 6 6.13 6 6.08 8 5.25 4 4.26 4 3.10 4 5.39 8 5.56 12 10.84 12 9.13 12 8.15 8 7.91 7 4.82 7 7.26 7 6.42 8 6.89 5 5.68 5 4.47 5 5.73 19 12.50 Source: Frank Anscombe. "Graphs in Statistical Analysis," American Statistician 27: 17-21, 1993. (a) Compute the linear correlation coefficient for each data set. (b) Draw a scatter diagram for each data set. Conclude that linear correlation coefficients and scatter diagrams must be used together in any statistical analysis of bivariate data. N

I need correlation coefficient ,test statistic , p value & conclusion pls help I need in an hour

use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?

Plz help asap, I need the sample correlation coefficient r, type of correlation, interpret the correlation, and use the table of crit values to make a conclusion.

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

PLEASE SHOW AN EXPLANATION FOR EACH PART

The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? 2425 Weight (Ib) Highway (mpg) 2725 2875 3480 4070 4090 3125 34 33 30 25 24 36 31 Which scatterplot below shows the data? O A. OB. C. O D. 40- 40- 40 20+ 2000 20- 2000 Weight (Ib) 20어 2000 20- 2000 Weight (Ib) 5000 5000 5000 5000 Weight (Ib) Weight (Ib) Is there a linear relationship between weight and highway mileage? O A. No, there appears to be no relationship. O B. Yes, as the weight increases the highway mileage increases. O C. No, there appears to be a relationship, but it is not linear. Click to select your answer. 4:21 PM a 17 梦 * v 6/4/2021 W 0 門 e Type here to search Chp ins prt sc delet fg ho ト f8 144 f6 10 f5 f4 IOI esc back & #3 $4 4 T. 6, 00 %24 (6 d) AamH 3. (B dw) Am

Which scatter plot shown has the strongest negative correlation?

Assume that you have paired values consisting of heights​ (in inches) and weights​ (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination​ provide?       Question content area bottom Part 1 Choose the correct answer below.     A. The coefficient of determination is 0.321. 32.1​% of the variation is explained by the linear​ correlation, and 67.9​% is explained by other factors.   B. The coefficient of determination is 0.679. 67.9​% of the variation is explained by the linear​ correlation, and 32.1​% is explained by other factors.   C. The coefficient of determination is 0.321. 67.9​% of the variation is explained by the linear​ correlation, and 32.1​% is explained by other factors.   D. The coefficient of determination is 0.679. 32.1​% of the variation is explained by the linear​ correlation, and 67.9​% is…

Experimental or Observational: A group of students is interested in knowing if there is a correlation between the amount of sleep kids get and their performance on the SAT.  They have 20 kids sleep for 5 hours, 20 kids sleep for 6 hours, 20 kids sleep for 7 hours, and 20 kids sleep for 8 hours.  They get their SAT scores and analyze the data. ______________