Plot X & Y axis as a scatter plot and describe the plotted data. Calculation (no changes here): Does increased rainfall correlated to higher crop yield? If you were testing for significance, state the null hypothesis and alternative hypothesis you were testing for both correlation and regression. List three factors that contributes to your conclusion. Thanks

Short answer type question: A correlation coefficient of 0.5 does not mean that 50% of the data are explained. Comment.

The data show the chest size and weight of several bears. Find the regression​ equation, letting chest size be the independent​ (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 ​pounds? Use a significance level of 0.05.   Chest size​ (inches) 46 57 53 41 40 40   Weight​ (pounds) 384 580 542 358 306 320   LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression​ equation?   y=nothing+nothingx ​ (Round to one decimal place as​ needed.)

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y=−66.75x+57.0 and the r=−0.504. Report answer as a percentage accurate to one decimal place.

The best predicted circumference for a diameter 1.2 cm is?

I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before

Applying the Concepts and SkillsIn each of Exercises,a. find the regression equation for the data points.b. graph the regression equation and the data points.c. describe the apparent relationship between the two variables under consideration.d. interpret the slope of the regression line.e. identify the predictor and response variables.f. identify outliers and potential influential observations.g. predict the values of the response variable for the specified values of the predictor variable, and interpret your results.Corvette Prices. The Kelley Blue Book provides information on wholesale and retail prices of cars. Following are age and price data for 10 randomly selected Corvettes between 1 and 6 years old.Here, x denotes age, in years, and y denotes price, in hundreds of dollars. For part (g), predict the prices of a 2-year-old Corvette and a 3-year-old Corvette. x 6 6 6 2 2 5 4 5 1 4 y 290 280 295 425 384 315 355 328 425 325

The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40 inches. Is the result close to the actual weight of 352 pounds? Use a significance level of 0.05. Chest size (inches) *Weight (pounds) 44 54 328 528 41 55 39 51 418 580 296 503 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? x (Round to one decimal place as needed.)

I was wondering specifically about part D and how to interpret my findings.

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = - 97.06x + 49.41 and the r = - 0.77. What percentage of the variation in y can be explained by the variation in the values of x? % (Report exact answer, and do not enter the % sign)