1. What is R2 and the standard error for the regression?1a. What is your point estimate enrollment for Spring 2022? Table 2. Regression with seasonal dummies (Enrollment = Bo + B1-Spring + B2-Fall + B3-Year)%3DSUMMARY OUTPUTRegression StatisticsMultiple RR SquareAdj. R SquareStandard ErrorObservations6.ANOVAdfSSMSSignif. FRegression3? 8590.667515.440.001937Residual2Total525805.33Coefficients Stand. Errort StatP-valueLower 95% Upper 95%Intercept275.773503 4.676537?2.15862351.84138? 28.16913 0.001258? 0.000702Spring11597.43449132.5655Fall1544.082483136.4345171.5655Year? 3.333333-2.8 0.107393 -23.67555.008842

SUMMARY OUTPUT Regression Statistics Multiple R ?…

Answered: Table 2. Regression with seasonal…

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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Based on the analyst's data and regression line, complete the following. For these data, values for earnings per share that are greater than the mean of the values for earnings per share tend to be paired with current stock prices that are (greater than, lesser than) the mean of the current stock prices. According to the regression equation, for an increase of one dollar in earnings per share, there is a corresponding increase of how many dollars in current stock price?
What are some ideas for practice problems that use the regression equation?
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** if there is not enough evidence to fill in the formula please clarify.
help asap please. I will upvote.
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.
Data are given below on the adjusted gross income x and the amount of itemized deductions taken by taxpayers. Data were reported in thousands of dollars. With the estimated regression equation = 4.68 + .16x, the point estimate of a reasonable level of total itemized deductions for a taxpayer with an adjusted gross income of $52.5 thousand is $13.08 thousand. Adjusted Gross Income ($1000s) Reasonable Amount ofItemized Deductions ($1000s) 22 9.6 27 9.6 32 10.1 48 11.1 65 13.5 85 17.7 120 25.5 In the questions that follow, enter the dollar amounts requested. For example, if the regression results provide a value of 11.74 thousand, enter 11,740 as the dollar amount in the box. Use Table 1 of Appendix B. Develop a 95% confidence interval for the amount of total itemized deductions for all taxpayers with an adjusted gross income of $52,500 (to the nearest whole number).$ ( , ) Develop a 95% prediction interval for the amount of total…
Which of the following about open-source software is true а. A software that can be easily customized. b. A software that does not cost any money for usage. O c. All of these O d. A software that is freely downloadable and available on the internet
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
The following data gives the number of employees at the bookstore and the number of minutes students wait in line to buy books at the beginning of the term. The independent variable is the number of employees and the dependent variable is the number of minutes. What is the y intercept? SSxx = 56.857; SS=2095.714; SSxy=-322.571 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square XA356899 0.96 0.93 0.91 y 67 54 47 33 31 25 12
I recently asked this question and was wondering if you could show me how to do it, not just putting it in a caculator or excel but written out equations and seeing my information plugged in so I can understand. Thank you. Calculate the simple linear regression to determine if the amount of time spent on homework can be predicted by amount of sleep. Graph the relationship and determine, numerically, if there are any outliers. Interpret all results in a paragraph citing the appropriate statisitcs.
6, 5. Kathy painted a picture and posted it on a social media site. The table shows the number of people who responded that they liked the picture since Kathy posted it. Time Since Picture Was Posted 5. 7. (days) Number of Likes 11 21 38 Write the regression equation that best models the data. a. y = 0.96(1. 55)* b. y = 2.07(1. 38)* c. y = 0.536x – 0.857x + 1.81 d. y = 1.38x´ + 0.30x + 0. 43

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