a) Fit a model of anxiety as predicted by physical activity (write the prediction equation).

1.Prediction Equation: Anxiety = 99.54 +0.87 X (Physical Activity)

2.Prediction Equation: Anxiety = 99.54 -0.87 X (Physical Activity)

b) Explain residual versus predicted plot.

1.The plots (residual versus predicted value) show that there is no pattern suggesting specification of errors.

2.The plots (residual versus predicted value) show that there is some pattern suggesting specification of errors.

c) Test if your slope is significant (H0 = beta =0).

1.Since our P value <.0001 is less than alpha .05 we reject null and conclude that the slope different from this means there linear relationship between physical activity anxiety.>

2.Since our P value <.0001 is less than alpha .05 we fail to reject null and cannot conclude that the slope different from this means there no linear relationship between physical activity anxiety.>

d) What is the R² and Adjusted R²?

1. .81 and .79

2. .70 and .76

3. .81 and .70

4. .99 and .98

e) What would be the anxiety score of someone who has physical activity of 85?

1. 65.98

2.25.58

3. 98.75

4. 72.35

AutoSave O Off) 1 - 7 ) - Document1 - Word Search abmiddleton 12@outlook.com A X File Home Insert Design Layout References Mailings Review View Help Share Comments X LO Arial 12 " A" A Aa AaBbCc AaBbCc AaBbC( AaBbCct AaB Find Copy Paste Gc Replace Format Painter BIUbx x A DA 1 Normal 1 No Spac... Heading 1 Heading 2 Title Dictate Editor Select Clipboard Font Paragraph Styles Editing Voice Editor Subject Anxiety Physical Activity 20 90 2 21 92 3 60 55 30 65 5 24 95 6 50 62 45 60 8 30 70 9 40 66 10 62 50 (Ctrl) - Page 1 of 1 34 words [ [ Focus + 91% Type here to search O Eli W (?) 3:01 PM 6/9/2021HW5AP.ADA(2)... abmiddleton 12@outlook.com X AutoSave O Off) Search A File Home Insert Design Layout References Mailings Review View Help Share Comments Add Text ab [ Insert Endnote Le Manage Sources Insert Table of Figures Insert Index EP Eep Insert Table of Authorities ! Update Table at Next Footnote Do Style: APA ! Update Table D! Update Index ! Update Table Table of Insert Search Researcher Insert Insert Mark Mark Contents Footnote = Show Notes Citation ~ LLy Bibliography ~ Caption L Cross-reference Entry Citation Table of Contents Footnotes Research Citations & Bibliography Captions Index Table of Authorities SAS Output:| Number of Observations 10 Read Number of Observations 10 Used Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1762.83768 1762.83768 33.96 0.0004 Error Co 415.26232 51.90779 Corrected 2178. 10000 Total Root MSE 7.20471 R-Square 0.8093 Dependent 38.30000 Adj R-Sq 0.7855 Mean Coeff Var 18.81124 [ Focus + 100% Page 12 of 18 2672 words x 4:19 PM Type here to search O Ei W (?) 6/9/2021X AutoSave O Off) HW5AP.ADA(2)... Search abmiddleton 12@outlook.com A Comments File Home Insert Design Layout References Mailings Review View Help Share Add Text ab [ Insert Endnote Le Manage Sources Insert Table of Figures Insert Index EP Eep Insert Table of Authorities ! Update Table Do Style: APA D! Update Index Insert at Next Footnote ! Update Table ! Update Table Table of Search Researcher Insert Insert Mark Mark Citation Contents Footnote Show Notes Citation ~ LLy Bibliography ~ Caption L Cross-reference Entry Index Table of Authorities Table of Contents Footnotes Research Citations & Bibliography Captions 13 Parameter Estimates Squared Semi- Paramete Standardiz partial Squared Standard | t Val ed Corr Type Partial Variable Label DF Estimate Error ue Pr > It Estimate Il Corr Type II Intercep | Intercept 1 99.53679 10.75221 9.26 <.0001 t x physical activity page of words focus pm type here to search w hw5ap.ada abmiddleton a autosave o off file home insert design layout references mailings review view help picture format share comments add text ab endnote d le manage sources table figures index fer authorities update at next footnote do style: apa mark researcher entry citation contents show notes lly bibliography caption la cross-reference footnotes research citations captions simple linear regression p2 y="99." rsq adj rvge residual o- predicted value>