Estimate the sales in thousands of rands that would have been produced in thelast two weeks by a salesperson who has 7 years of experience.Using your calculator, determine the coefficient of correlation for the data set.Interpret your answer.Compute the coefficient of determination for the data set. Interpret your answer. The table below indicates the number of years of experience of a sample ofsalespeople who work for Hornbill Pty, and their corresponding sales (inthousands of rands) over the last two weeks.Years of Experience (x)834Ln54Sales (R000s) (y)1309535652585

Follows the below instructions to obtain the regression equation using the calculator: The steps…

Answered: Estimate the sales in thousands of…

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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Solve for the slope, y-intercept, equation of the trend line, the correlation coefficient, and the coefficient of determination for the following the data set. Show your work and explain the steps you used to solve. Round your answer to the nearest hundredth. Save Goals Percentage 36 9.61 9.42 9.35 DELL 58 66
What do you call the measure of how much of the variability in one variable can be explained by variation in the other?
The sales manager of a real estate company collected information about the annual sales of his sales agents and their years of experience in selling. Salesperson A B C D E F G Years of experience 1 1 3 4 4 5 6 Annual sales (in thousand pesos) 50 30 80 100 90 120 135 a. Using any statistical software, produce a scatter diagram for these data with years of experience as the independent variable and annual sales as the dependent variable. b. Describe the form, trend, and strength of their association.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.4 6.8 3.4 2.5 2.6 2.6 0.9 13.5 10.9 9.8 6.7 6.3 6.4 4.5 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 0.83x + 3.99. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 8.4 thousand automatic weapons? Answer Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer Round to 3 decimal places.
The box plots below show how fast cars are travelling at a specific time of a day on highway I-5 and l-405 in King county. Fill in the blank. I-405 I-5 45 50 55 60 65 70 75 Speed (miles per hour) If Jay is driving at the median speed on l-5, he is driving faster than % of drivers on l-405.
The scatter plot shows the number of hours worked and money spent on entertainment by each of 24 students. Also shown is the line of best fit for the data. Fill in the blanks below. 70 65 60 55. Amount of 50 × 45 money spent on entertainment 40+ (in dollars) 35. × × 30 25 20 15. × 10+ 5-x 0 6 8 10 12 14 16 18 20 22 Number of hours worked (a) For these 24 students, as the number of hours increases, the amount of money spent tends to (Choose one) (b) For these 24 students, there is (Choose one) money spent. correlation between the number of hours worked and the amount of (c) Using the line of best fit, we would predict that a student working 8 hours would spend approximately (Choose one) ▼ ك ?
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y= -71.12x + 92.48 and the r= -0.571
The data in the picture contains purchase data for golf purchases. Create a doughnut chart in Excel to compare the purchases by gender each year with the US population. Below the chart, explain what it illustrates.
State each case whether you would expect a positive correlation, a negative, or no correlation. 1) Educational attainment and salary.
Find the percentage of data that lies below -2.40, above 1.73, and between -2.40 and 1.73

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