Examine the scatterplot for the data in the table below.214418199 3310 2412 2513 26142716 2919| 3940+3530252015105+-5-5+101520There seems to be an outlier. Enter as a point:a. (x, y) =To determine if this is truly an outlier, we first need to find the standard error of the estimate, Se.Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation tofind the standard error. Round this answer to one decimal.b. Se =6. What y-value is the cutoff beyond which the point (9, 33) would be considered an outlier?c. The cutoff is y =d. Is the point (9, 33) an outlier?YesO No

Scatterplot is also known as the scatter gram, scatter graph or scatter charts. It uses dots to…

Examine the scatterplot for the data in the table below. 2 14 4 18 6 19 9 33 10 24 12 25 13 26 14 27 16 29 19 39 40 35 30 25 20 15 10 5 10 15 24 -5 There seems to be an outlier. Enter as a point: a. (r, y) To determine if this is truly an outlier, we first need to find the standard error of the estimate, S.. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se =

Examine the scatterplot for the data in the table below. 2 14 4 18 6 19 9 33 10 24 12 25 13 26 14 27 16 29 19 39 40 35 30 25 20 15 10 5 10 15 24 -5 There seems to be an outlier. Enter as a point: a. (r, y) To determine if this is truly an outlier, we first need to find the standard error of the estimate, S.. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se =

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 scaterplot and identify a characteristic of the data that is ignored by the regression line. x 11 y 734 11 6.48 12.77 8 12 7.66 13 9.05 4 13 7.98 7. 6.59 7.38 5 85 5.48 5.99 Create a scatterplot of the data. Choose the correct graph below OA. OB. C. OD. 25 Ar 25 AY 25 25 20 201 20 20 15- 15 10 154 15 10 10 10 0 10 15 20 25 0510 15 20 25 68 10 15 le 05 10 15 2o 25 Find the equation of the regression line. (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed) Identily 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 ine OB There is an influential point that strongly affects the graph of the regression line OC The data has a pattem that is not a straight Iine OD. There is no trend in the data.
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. 11 9 12 8 11 13 4 13 6. 6 У 7.25 7 12.94 7.22 8.15 9.27 6.33 5.3 8.52 6.14 5.46 Create a scatterplot of the data. Choose the correct graph below. O B. OC. O D. O A. Ay 25- Ay 25- 25- 25- 20- 20 20- 20 15 15 15 15 10 10 10- 10 5- 5- 5- 5- 0- 05 10 15 20 25 05 10 15 20 25 0- 05 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. There is no trend in the data. O B. The data has a pattern that is not a straight line. C. There is an influential point that strongly affects the graph of the regression line. D. There is no characteristic of the data that is ignored by the regression line. Click to select your answer(s).…
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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.
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Amount of fertilizer (x) in pounds for each plot: 12, 5, 15, 17, 20, 14: Bushels of tomatoes harvested (y) 24 22 31 33 21 28: Round all values to three decimal places. a) Find the equation of the regression line (line of best fit). b) Calculate the correlation coefficient (r). c) Determine if there is a significant linear correlation. d) If the linear relation is significant, predict how many bushels of tomatoes would be harvested if 22 pounds of fertilizer was used.
Here is data with y as the response variable. a. Make a scatter plot of this data. Which point is an outlier? Enter as an ordered pair, e.g., (x,y). (x, y) b. Find the regression equation for the data set without the outlier. Enter the equation of the form mx + b rounded three decimal places. y wo X 48.4 77.3 88 67.1 108.3 75.9 64.8 -161.3 61.2 67.9 ŷw y 45.7 40.3 27.3 54.5 -63.2 36.3 73.2 96.5 82.2 119.8 = -- c. Find the regression equation for the data set with the outlier. Enter the equation of the form mx + b rounded to three decimal places.