Desmos | Graphing CalcYear Time (seconds)1912 82.21924 72.41932 66.81952 66.81960 61.21968 60.01976 55.651984 55.921992 54.642000 53.82008 53.1a. Decide which variable should be the independent variable and which should be the dependentvariable.b. Draw a scatter plot of the data.C. Does it appear from inspection that there is a relationship between the variables? Why or why not?d. Find the equation in the form of: y= a + bx.e. Find the correlation coefficient.f. Find the estimated gold medal time for 1932. Find the estimated time for 1984.g. Why are the answers from part f different from the chart values?h. Does it appear that a line is the best way to fit the data? Why or why not?i. Use the least-squares line to estimate the gold medal time for the next Summer Olympics(Assuming they would be in 2020). Do you think that your answer is reasonable? Why or why not?Note that the fastest speed time in recorded history as of 2020 was 51.22 seconds for the 100meter swim by Mark Spitz.

Given that Year and Time data is given Let X denotes the year and Y denotes the time We have to…

Answered: Year Time (seconds) 1912 82.2 1924 72.4…

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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Identify the type of correlation in the following scatter plot. e Skip step McCully, Aliyah 9. 24AMCCully21C
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
Show work, thank you!
Which variable is most likely to be an independent variable? reading test score stress level running speed weight loss forms of therapy
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For the data set, perform a 3 month moving average to determine the forecast for month 13. Show all work in an Excel file. month rate 1 9.5 2 9.3 3 9.4 4 9.6 5 9.8 6 9.7 7 9.8 8 10.5 9 9.9 10 9.7 11 9.6 12 9.6
Would it be OK to use the line to predict the age of the wife if the husband is 80 years old? Explain your answer.
Use a graphing calculator to create a scatter plot and find the line of best fit and the correlation coefficient for the following data. Round to the nearest hundredth. X 2 4 6 8124 10 Part: 0/2 y 2 3 6 7 10 15 19
Use a calculator or computer software to generate a normal quantile plot for the data in the accompanying table. Then determine whether the data come from a normally distributed population. Click the icon to view the data set. Generate a normal quantile plot for the data. Choose the correct graph below. OA. 3.00 2.00- 1.00- 0.00- -1.00- Q Q -2.00 -3.00 100 200 300 400 500 0 X Value OB. 3.00 2.00- 1.00- 0.00- -1.00- -2.00- -3.00- ... 0 100 200 300 400 500 X Value Q Q G O C. 3.00 2.00 P 1.00 0.00- -1.00- -2.00- 0 100 200 300 400 500 X Value -3.00+ Determine whether the data come from a normally distributed population. Choose the correct answer below. OA. The distribution is not normal. The points are not reasonably close to a straight line. OB. The distribution is normal. The points show a systematic pattern that is not a straight-line pattern. OC. The distribution is not normal. The points show a systematic pattern that is not a straight-line pattern. OD. The distribution is normal. The…
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:

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