Using your dataset, run a regression of Y=GPA and X=# Friends.(do not need your actual data, just the regression results)a) State what this regression is attempting to analyze. “By running this regression, we areattempting to show.....”b) Write out the regression equation and describe what it shows (if Friends increase by 1, then. . . ).c) Find your hypothesized GPA when the # friends equals 17.d) Is the slope of # of Friends significantly different from zero?Include Ho, Ha, decision rule, t statistic from table, tc, decision, and conclusion.e) Is the r-squared of # of Friends significantly different from zero?Include Ho, Ha, decision rule, F statistic from table, Fc, decision, and conclusion. 1V945AutoSaveUndoFile Home Insert Draw Page LayoutReadyAPasteClipboardv67891011121314151617181920212223242526Calc Avg27 Calc sample stddev28 sample variance29OffB1X✓ fx234567891011121314151617S181920Sheet1с$ 65 70 75 75 60 45682272 65 65 3 4 1 60 69 6977Height7374Morris Data Set ✓Calibri71B IDWeight13116526018018019014013021416519518714019023019016795135150UEGPA432.72.752.83.42.932.92.85333.63.222.833.23.843FontFormulas Data Review✓11FStudy313.53225543.52434.532.54442✓GGTV312.5413244240.50224.5212A^A132HComputer FamilySz2556534365556444454630322.5231121.525A13SQ Search44View AutomateAlignmentFloors22221213122222323Search2213Kstairs131413261230260131316132612613161326+friends581532633415812256481N55Help←0.00 →.0Mfemale100010110000110001Number102.3752.34.55314.670.05 171.7 3.146 3.2564.9148 38.47227 0.403738 1.094243 1.296503 1.389813 0.887041 4.518966 8.999415 4.01313624.15526 1480.116 0.163004 1.197368 1.680921 1.931579 0.786842 20.42105 80.98947 16.10526 0.252632HWK 2 Q6 Project 1Project 2Project 3NAcctg10010001001011100000(DELLSOMgmt00000100110100000010I00PMktg0110000000000010Conditional Formatting ✓01Format as TableCell StylesQFin0000100000000000000Styles0REcon0000000000000ooooo0qbSOther00000010000000010100Insertx DeleteNES MorrisTFormat ✓CellsUmVWEΣ 28-OvaCommentsEditingWXShareAnalyzeDataAnalysisYZX+ 72%10:19 PM4/5/2023 scUndoE5123←4567891011121314151617181920File<◄My PennWest LoginAHome - myPennWes XHome InsertPasteExcel Morris Data Set - Saved ✓ClipboardBSUMMARY OUTPUTANOVACalibriRegression StatisticsMultiple RR SquareAdjusted R SquareStandard ErrorObservationsRegressionResidualTotalMorris Data Set.xlsx X D2L WEBWork CMAT 23 X b↑ € My PennWest Xhttps://sshe-my.sharepoint.com/:x:/r/personal/mor88107_pennwest_edu/_layouts/15/doc2.aspx?sourcedoc=%7BABED4FC3... AInterceptfriendsBIUD ab H ♡0.3319815670.1102117610.0607790810.391276072df20eCampus: Choosing...Draw Page Layout11819✓11FontDSS0.3413346412.7557453593.09708Coefficients Standard Error3.346392157 0.160206916-0.033398693 0.022367764> = Sheet1Sheet2 HWK 2Calculation Mode: Automatic Workbook StatisticsQ6Α Α΄Ehttps://ecampus.vit... WeBWork: CMAT_2...Search (Alt + Q)Formulas DataDProject 1PFAlignmentGSignificance FMSF0.341334641 2.229532387 0.1527164430.153096964Wrap TextMerge & Center ✓Q SearchReviewHProject 2 Project 3 +IGeneralt StatP-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%20.88793823 4.54442E-14 3.009809917 3.682974397 3.009809917 3.682974397-1.493161876 0.152716443 -0.080391622 0.013594236 -0.080391622 0.013594236View Automate Help$%95.000.000Ch. 1 Introduction -...NumberaKuse the "printout" b X(DELL)LStart Here, Go Any...Conditional Format As StylesFormatting ✓ Table ✓StylesMNhttps://vdi.pennwes XqbCommentsOInsert Delete FormatXThe Best Summary...PCells☆Q+EditingEditingRGive Feedback to MicrosoftSShare ✓AnalyzeDataAnalysisSMT- 71% +▲XCO+10:17 PM4/5/2023

The regression analysis is used to predict the dependent variable for given independent variables.…

Using your dataset, run a regression of Y=GPA and X=# Friends. (do not need your actual data, just the regression results) a) State what this regression is attempting to analyze. “By running this regression, we are attempting to show.....” b) Write out the regression equation and describe what it shows (if Friends increase by 1, then. . . ). c) Find your hypothesized GPA when the # friends equals 17. d) Is the slope of # of Friends significantly different from zero? Include Ho, Ha, decision rule, t statistic from table, tc, decision, and conclusion. e) Is the r-squared of # of Friends significantly different from zero? Include Ho, Ha, decision rule, F statistic from table, Fc, decision, and conclusion.

Using your dataset, run a regression of Y=GPA and X=# Friends. (do not need your actual data, just the regression results) a) State what this regression is attempting to analyze. “By running this regression, we are attempting to show.....” b) Write out the regression equation and describe what it shows (if Friends increase by 1, then. . . ). c) Find your hypothesized GPA when the # friends equals 17. d) Is the slope of # of Friends significantly different from zero? Include Ho, Ha, decision rule, t statistic from table, tc, decision, and conclusion. e) Is the r-squared of # of Friends significantly different from zero? Include Ho, Ha, decision rule, F statistic from table, Fc, decision, and conclusion.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 6SGR

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