State Debt and Per Capita Taxes Data for per capita state debt and per capita state tax for five randomly selected states are shown.Per capita debt45299077554 24233357Per capita tax34782054 281816451430Send data to ExcelThe correlation coefficient for the data is 7 0.563 and a= 0.05. Should regression analysis be done?OThe regression analysis should not be done.O The regression analysis should be done.Find the equation of the regression line. Round the coefficients to at least three decimal places, if necessary.y' a+bxa =b =Find y' when x = $1689. Round the answer to at least three decimal places, if necessary.v' =

Given : r=0.563α=0.05 By using excel, the result is given below image :

State Debt and Per Capita Taxes Data for per capita state debt and per capita state tax for five randomly selected states are shown. Per capita debt 4529 907 7554 2423 3357 Per capita tax 3478 2054 2818 1645 1430 Send data to Excel The correlation coefficient for the data is r 0.563 and a= 0.05. Should regression analysis be done? The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places, if necessary. y' a+bx a = b = Find y' when X= $1689. Round the answer to at least three decimal places, if necessary. y' =

State Debt and Per Capita Taxes Data for per capita state debt and per capita state tax for five randomly selected states are shown. Per capita debt 4529 907 7554 2423 3357 Per capita tax 3478 2054 2818 1645 1430 Send data to Excel The correlation coefficient for the data is r 0.563 and a= 0.05. Should regression analysis be done? The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places, if necessary. y' a+bx a = b = Find y' when X= $1689. Round the answer to at least three decimal places, if necessary. y' =

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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 758 621 518 510 492 | 483 | 51 47 46 43 39 36 Find the regression equation. y = ☐ X+ (a) x = 503 feet (c) x = 802 feet (b) x = 649 feet (d) x = 728 feet (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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A physician wishes to know whether there is a relationship between a father’s weight (in pounds) and his new born sons’ weight (in pounds). The data are given here Fathers Weight 176 145 187 210 196 142 205 215 152 145 Sons Weight 6.6 8.2 9.2 7.1 8.8 9.3 7.1 8.6 7.8 6.0 Develop the regression equation for the sample Predict the sons weight based on the father’s weight of 300, 250 and 400.
Correlation and linear regression
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r= -0.438 please dont copy paste the content from other sites
Forest Fires and Acres Burned Numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned for 7 recent years are shown. Number of fires x 58 47 84 62 57 72 69 Number of acres burned y 54 43 80 58 53 68 65 The correlation coefficient for the data is =r1 and =α0.05 . Should regression analysis be done? The regression analysis should not be done. The regression analysis should be done. Find the equation of the regression line. =y′+abx =a =b Find y′ when =x50 . =y′
Prev The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the number of bids an Item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, In practice, It would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in Dollars 28 33 36 42 45 Number of Bids 1 7 8 9 10 Step 3 of 6: Find the estimated value of y when x = 33. Round your answer to three decimal places. Table Copy Data Next
The personnel director of a large hospital is interested in determining the relationship (if any) between an employee's age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 Age 30 50 40 55 30 28 60 25 Sick Days 7 4 3 2 9 10 0 8 Copy Data The estimated regression line and the standard error are given. Sick Days = 14.310162 - 0.2369(Age 9 10 30 45 5 2 Se = 1.682207 Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.
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 48 inches. Is the result close to the actual weight of 428 pounds? Use a significance level of 0.05. at Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r View an example 49 42 D 36 56 50 39 296 570 501 353 487 385 What is the regression equation? =+x (Round to one decimal place as needed.) H C Get more help. "' 10 √ ✔ (0,0) Clear all More X 67°F Sunny Incorrect: 0 Activate Windows Check answer Go to Settings to activate P 4