Based on the data shown below, calculate the correlation coefficient (to three decimal places). This is the Y value you get when you do the regression. 4. 13.58 16.8 20.52 7. 22.44 8. 24.36 26.88 Submit Question

Based on the data shown below, calculate the correlation coefficient (to three decimal places). This is the Y value you get when you do the regression. 4. 13.58 16.8 20.52 7. 22.44 8. 24.36 26.88 Submit Question

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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Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 9 9 11 10 11 14 4 13 7 6 y 7.59 6.87 13.06 7.32 8.58 6.09 5.62 8.35 6.73 7.77 5.9 Create a scatterplot of the data. Choose the correct graph below. O A. OB. OC. Oc. OD. Ay 25- Ay 25- Ay 25- 25- 20 20- 20- 20- 155 155 155 155 105 105 105 105 5- 55 55 55 0- Ó 5 10 15 20 25 0- 0- 05 10 15 20 25 Ó 5 10 15 20 25 0 5 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. O A. The data has a pattern that is not a straight line. O B. There is no characteristic of the data that is ignored by the regression line. OC. There is an influential point that strongly affects the graph of the regression line. O D. There is no trend in the data.
From a lot of 15 missiles, 4 are selected at random and fired. If the lot contains 6 defective missiles that will not fire, what is the probability that 3 will not fire? (Note: write the probability as an integer or as a percentile without the % sign) Answer:
K 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 63 inches. Is the result close to the actual weight of 532 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 58 50 65 59 59 48 D 414 312 499 450 456 260 =+x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 63 inches? The best predicted weight for a bear with a chest size of 63 inches is 566 pounds. 3 ▸
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 11 7 11 10 12 14 6 4 11 8 5 y 7.6 6.6 13.07 7 7.67 9.18 5.81 5.46 8.04 6.52 5.99 Create a scatterplot of the data. Choose the correct graph below. A. 05101520250510152025xy A scatterplot has a horizontal x-scale from 0 to 25 in intervals of 1 and a vertical y-scale from 0 to 25 in intervals of 1. Eleven points are plotted with approximate coordinates as follows: (4, 8); (5, 6); (6, 6.5); (7, 6.5); (8, 9); (10, 7.5); (11, 5.5); (11, 7); (11, 13); (12, 6); (14, 7.5). B. 05101520250510152025xy A scatterplot has a horizontal x-scale from 0 to 25 in intervals of 1 and a vertical y-scale from 0 to 25 in intervals of 1. Eleven points are plotted with approximate coordinates as follows:…
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Run a regression analysis on the following bivariate set of data with y as the response variable. x y 61.1 78.9 58.6 84.5 70.2 58.1 62.3 65.4 64.2 68.9 58 84.1 63.7 70.2 64.6 71.9 68.3 71.5 61.7 77.5 59.3 77.4 64.6 71.2 Find the correlation coefficient and report it accurate to three decimal places.r = What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.)r² = %Based on the data, calculate the regression line (each value to three decimal places)y = x + Predict what value (on average) for the response variable will be obtained from a value of 61.9 as the explanatory variable. Use a significance level of α=0.05α=0.05 to assess the strength of the linear correlation.What is the predicted response value? (Report answer accurate to one decimal place.)
using Excel
This C The weight of an organ in adult males has a bell-shaped distribution with a mean of 310 grams and a standard deviation of 40 grams. Use the empirical rule to determine the folowing (a) About 99.7% of organs will be between what weights? (b) What percentage of organs weighs between 230 grams and 390 grams? (c) What percentage of organs weighs less than 230 grams or more than 390 grams? (d) What percentage of organs weighs between 270 grams and 430 grams? (a) and grams (Use ascending order.) (b)% (Type an integer or a decimal.) (c) % (Type an integer or a decimal.) (d) % (Type an integer or decimal rounded to two decimal places as needed.) Enter your answer in each of the answer boxes. e Type here to search 近

y Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 11 7 7 4 13 13 10 12 14 13.32 6.78 7.89 8.93 5.83 5.44 y 7.59 6.64 8.05 7 5 D 6.3 5.94 (...) OA. B. O D. Q 25- Q 25- 20 20 15 Q Q 155 10 10- O C. 25+ 20 153 5- DOOR P 28 10 5- 0 5 0 5 10 15 20 25 0 5 10 15 20 25 0- 0 5 10 15 20 25 Find the equation of the regression line. y=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. OA. There is no characteristic of the data that is ignored by the regression line. B. The data has a pattern that is not a straight line. OC. There is an influential point that strongly affects the graph of the regression line. Av Ay 25 20 15: 10 Q Q Aу Ay / 53 0 0 5 10 15 20 25
Based on the data shown below, calculate the correlation coefficient (to three decimal places). This is the 'r' value you get when you do the regression. x y 2 8.38 3 6.35 4 7.92 5 4.19 6 5.46 7 4.93 8 3.9
Tall Buildings The stories and heights (in feet) of a sample of 10 buildings in Pittsburgh are shown. Stories.x 64 54 40 31 45 44 42 41 39 40 Height y 741 625 535 516 515 482 435 420 411 385 Send data to Excel The correlation coefficient for the data is r= 0.788 and a= 0.05. Should regression analysis be done? O 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. y'=a+bx a = b = Find y' when x = 36. Round your answer to at least three decimal places. y'
Next Run a regression analysis on the following bivariate set of data with y as the response variable. X y 48.1 41 63.7 62.6 40.1 33.4 49.4 46.3 16.3 -29.1 39.9 27.3 37.1 33.3 48.2 45.4 32.9 11.1 34.9 27.9 44.6 25.5 25.1 Z 23.2 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be 84.5%...you would enter 84.5 without the percent symbol.) r² = % Submit Question