Use the given data to find the scatter plot, equation of the regression line, and prediction. 4) Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance 59 63 65 69 58 77 76 | 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 What function do you use to see the scatterplot on the calculator. Scatterplot from the calculator:

Use the given data to find the scatter plot, equation of the regression line, and prediction. 4) Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance 59 63 65 69 58 77 76 | 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 What function do you use to see the scatterplot on the calculator. Scatterplot from the calculator:

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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A teacher monitoring the average grade of a class each week. The table models the average grade, y, after a given number of weeks, x. Which type of model would best fit the data?
Forest Fires and Acres Burned An environmentalist wants to determine the relationships between the numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned. The data for 6 recent years are shown. Number of fires x 58 47 84 62 57 45 Number of acres burned y 19 26 51 15 30 15 Send data to Excel Part 1 of 5 Your Answer is correct (a) Draw the scatter plot for the variables. Fires and Acres Burned Acres burned 100,000s y 5 10 15 20 25 30 35 40 45 50 55 60 65 70 x 10 20 30 40 50 60 70 80 90 0 Fires 1000s Part: 1 / 5 1 of 5 Parts Complete Part 2 of 5 (b) Compute the value of the correlation coefficient. Round your answer to at least three decimal places. r=?
Show all calculations, do not use excel. Regression analysis questions.
x 59 63 65 69 58 77 76 69 70 64 y 72 67 78 82 75 87 92 83 87 78 Use your calculator to generate a scatter plot of the data. Don't forget to use ZoomStat to get an appropriate range of values. A reasonable freehand sketch is appropriate. Do the data form an approximate linear relationship. Explain in 1 - 2 complete sentences. Consider the notion of causation. Does attitude "cause" performance? Explain in 1 - 2 complete sentences.
The values of advertisement expense (X) and sales (Y) are shown in the table below. Find the regression line. Estimate the value of sales when advertisement expense is 20.
-by-Side We expect a car's highway gas milcage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 1259 vehicles in the government's 2019 Fuel Ecomomy Guide give the regression line (b) What is the intercept? Give your answer to three decimal places. highway mpg - 8.720 + (0.914 x city mpg) intercept: mpg for predicting highway milcage from city mileage. Why is the value of the intercept not statistically meaningful? O The value of the intercept represents the predicted highway milcage for city gas mileage of 0 mpg. and such a prodiction would be invalid since O is outside the range of the data. O The value of the intercept represents the predicted city mileage for highway gas mileage of 0 mpg. and such a car does not exist. The value of the intercept is an average value calculated from a sample. The value of the intercept represents the predicted highway milcage for slope 0.
The scatter plot shows the relationship between the number of minutes studying for a test (x) and the number of mistakes made (y). The graph shows the scatterplot of the data and a fitted line. 19+ 18 17 16 15 14 13 12 10 4 -10 10 20 30 40 50 60 70 80 90 100 lio a2 Select True or False for each statement based on the scatter plot. True/False There is a negative association between the amount of time studying for a test and the number of mistakes made. True False Students who studied for a longer period of time tended to make more mistakes. True False There is a linear association between time True False studying and number of mistakes.
Fireworks and Injuries These data were obtained for the years 1993 through 1998 and indicate the number of fireworks (in millions) used and the related injuries. Fireworks in use x Related injuries y 67.6 12 87.1 12 117 12 115 10 118 7800 Send data to Excel Draw a scatter plot.
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lecture(11.12): A large amount of scatter in a scatter plot is an indication that the relationship between the two variables is (a) negative (b) strong (c) weak (d) moderate (e) positive
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Scatter Plot Instructions: Use technology to create a scatter plot for the data below. Then find the answers to the following questions. (Note: You will not turn in the scatter plot for this question.) Weight (Ibs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 166 1. What is the response variable? Systolic Blood Pressure + 2. What is the explanatory variable? Weight 3. What is the equation of the linear regression line? y = a x (Round to the nearest hundredth, if necessary.) (Round to the 4. If person's weight is 150, what can we expect the systolic blood pressure to be? nearest whole number, if necessary.) This is an example of extrapolation + 5. The sample correlation coefficient is (Round to the nearest hundredth, if necessary.) This number indicates that there is a strong positive correlation between the explanatory and response variables. Please answer all parts of the question. Next page stv MacBook Air 20 F3 000 F4…