Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress Best Actress Best Actor 28 29 29 28 59 23 46 55 O 58 43 34 58 30 35 45 44 38 38 44 52 47 58 50 39 Find the equation of the regression line. (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as L) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years is years old. (Round to the nearest whole number as needed) Is the result within years of the actual Best Actor winner, whose age was 44 years? V the predicted age is V the actual winner's age.

KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ##          Simple Linear Regression## ## Correlation coefficient r =  0.6411 ## ## Equation of Regression Line:## ##   length = 9.817 + 1.658 * width ## ## Residual Standard Error: s   = 1.025 ## R^2 (unadjusted):        R^2 = 0.411   ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411

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 50 inches. Is the result close to the actual weight of 427 ​pounds? Use a significance level of 0.05.   Chest size​ (inches) 49 51 53 61 57 45   Weight​ (pounds) 368 382 420 481 457 287 What is the regression​ equation? y=enter your response here+enter your response herex ​ (Round to one decimal place as​ needed.)     What is the best predicted weight of a bear with a chest size of 50 ​inches?   The best predicted weight for a bear with a chest size of 50 inches is enter your response here pounds. ​(Round to one decimal place as​ needed.)

Is It Getting Harder to Win a Hot Dog Eating Contest?Every Fourth of July, Nathan’s Famous in New York City holds a hot dog eating contest. The table below shows the winning number of hot dogs and buns eaten every year from 2002 to 2015, and the data are also available in HotDogs. The figure below shows the scatterplot with the regression line. Year     Hot Dogs 2015   62 2014   61 2013   69 2012   68 2011   62 2010   54 2009   68 2008   59 2007   66 2006   54 2005   49 2004   54 2003   45 2002     50 Winning number of hot dogs in the hot dog eating contest Winning number of hot dogs and buns Click here for the dataset associated with this question.   (a) Is the trend in the data mostly positive or negative?     Positive   Negative   (b) Using the figure provided, is the residual larger in 2007 or 2008?Choose the answer from the menu in accordance to item (b) of the question statement  20072008 Is the residual positive or…

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.)

The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $7 million. Is the result close to the actual number of viewers, 5.2 million? Use a significance level of 0.05. Salary (millions of $) 108 14 5 8 5.1 4.3 7.8 2.5 Viewers (millions) Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=+x (Round to three decimal places as needed.) X 1 1 5 8 5.7 8.2 10.9 4.4

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 762 51 621 46 515 45 508 42 491 39 480 36 (a) x = 502 feet (c) x = 315 feet Find the regression equation. ŷ=x+ (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) (b) x = 645 feet (d) x = 731 feet

Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Find the best predicted Nobel Laureate rate for a country that has 78.5Internet users per 100 people. How does it compare to the​ country's actual Nobel Laureate rate of 1.1 per 10 million​ people? Internet Users Per 100 Nobel Laureates80.3     5.679.6     24.277.3     8.644.6     0.183       6.138.3    0.190.1   25.189.1   7.680.1   8.983.3   12.753.2   1.976.6   12.756.8   3.379.5   1.591.5   11.493.7   25.465.1   3.157.8   1.967.9   1.794.3   31.785.3   31.387.7   1977.7   10.8

The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value?   Chirps in 1 min 1004 952 1237 1116 1177 1249   Temperature ​(°​F) 83.1 76 95.1 87.5 92.1 88.4 What is the regression​ equation?   (^ over y)=_____+_____x ​(Round the​ x-coefficient to four decimal places as needed. Round the constant to two decimal places as​ needed.)   What is the best-predicted temperature for a time when a bug is chirping at the rate of 3000chirps per​ minute?   The best-predicted temperature when a bug is chirping at 3000 chirps per minute is ____°F. ​(Round to one decimal place as​ needed.)   What is wrong with this predicted​ value? Choose the correct answer below.   A. It is…

You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=60.71x+33.51y=60.71x+33.51and the r2=0.1764r2=0.1764.What is the correlation coefficient for this data set?r =