USING R STUDIO I NEED THE CODE, THE SCREENSHOT SHOWS HOW THE DATA LOOKS in a xslx (excel document) - Create a variable w
Posted: Mon Jul 11, 2022 11:39 am
USING R STUDIO I NEED THE CODE, THE SCREENSHOT SHOWS HOW THEDATA LOOKS in a xslx (excel document)
- Create a variable with name “model1” that stores the estimateof the linear model shown belowUNRATE_PCH = b_0 + b_1*DFII10_PCH + b_2 * CPILFESL_PCH + b_3 *XTEITT01CNM156S_PCH+ b_4* DCOILWTICO_PCH + b_5 * PCOPPUSDM_PCH + b_6 * PCE_PCH+ b_7 * WPU101_PCH + b_8 * GPDIC1_PCH + b_9 * RRVRUSQ156N_PCHPaste you model’s summary below:Hint: use lm and summary- List all the estimate parameters from step 3 that arestatistically significant for all α ≤ 0.05
- Plot the model1’s residual Density Function (write the code onhow to output the model1's residual Density Function)Paste the plot below:- Check the model1’s residual normality using the Sharpio test.Paste your results below and explain your finding (Write the codeon how to output the model1's residual normality)in one to two sentences.
DATE 2003-04-01 2003-07-01 2003-10-01 2004-01-01 2004-04-01 2004-07-01 2004-10-01 2005-01-01 2005-04-01 2005-07-01 2005-10-01 2006-01-01 2006-04-01 2006-07-01 2006-10-01 2007-01-01 2007-04-01 2007-07-01 2007-10-01 2008-01-01 2008-04-01 2008-07-01 2008-10-01 2009-01-01 2009-04-01 2009-07-01 2009-10-01 2010-01-01 2010-04-01 2010-07-01 2010-10-01 2011-01-01 2011-04-01 2011-07-01 0044 10.04 UNRATE_PCH 4.5 0.0 -4.9 -2.3 -1.8 -3.0 0.0 -2.5 -3.8 -2.6 0.0 -4.7 -2.1 0.0 -4.3 1.5 0.0 3.7 2.9 4.2 6.7 12.5 14.4 20.4 12.5 3.6 3.1 -1.0 -2.0 -1.7 0.4 -4.9 0.4 -0.7 d DFII10_PCH -6.8 13.7 -8.8 -15.8 20.9 -7.4 -10.7 1.6 -2.3 8.6 12.2 2.2 17.9 -3.9 -2.1 0.1 5.1 0.4 -21.3 -31.4 11.9 14.5 52.4 -30.8 -4.0 1.7 -21.2 4.5 -5.7 -22.1 -28.6 43.0 -26.1 -66.3 04.0 CPILFESL_PCH 0.2 0.4 0.3 0.5 0.6 0.4 0.6 0.6 0.5 0.3 0.7 0.6 0.8 0.7 0.5 0.6 0.5 0.5 0.7 0.7 0.4 0.6 0.2 0.4 0.5 0.3 0.5 0.0 0.1 0.2 0.3 0.5 0.5 0.7 or EITT01CNM156S_PDCOILWTICO_PCHPCOPPUSDM_PCH -14.9 4.3 3.1 13.4 8.4 14.5 10.0 3.3 6.4 19.2 -5.2 6.9 -1.3 2.4 -10.2 6.3 5.2 2.9 3.3 1.1 -0.6 -4.2 5.8 4.9 -0.4 -0.1 6.8 0.5 -4.4 -5.0 1.7 -0.6 2.8 11.3 3.4 -18.7 -4.3 1.4 -0.4 0.6 0.9 -44 -2.4 4.5 -1.3 AC 5.4 11.4 0.0 -15.0 -3.1 11.9 15.8 20.4 8.0 26.5 -4.4 -50.4 -26.5 38.2 14.3 11.5 3.7 -1.3 -2.3 12.0 10.5 8.5 -12.3 -1.3 6.8 17.5 32.2 2.1 2.6 8.4 5.5 3.8 10.7 14.8 15.0 46.1 6.2 -8.0 -15.7 28.4 0.9 -6.7 8.5 8.1 -9.3 -49.0 -11.7 35.6 25.3 13.4 8.7 -2.9 3.4 18.9 11.6 -5.0 -1.9 46 4 PCE PCH 1.1 2.1 11 1.7 1.3 1.6 2.0 1.2 1.7 2.1 1.1 1.6 1.3 1.3 0.8 1.5 1.0 1.1 1.3 0.6 1.2 0.3 -2.4 -0.8 0.0 1.4 0.6 0.8 0.9 0.9 1.3 1.3 1.2 0.9 05 WPU101_PCH GPDIC1_PCH RRVRUSQ156N_PCH 0.1 0.7 2.1 0.7 3.6 4.0 3.4 0.2 13.6 8.6 10.6 5.4 -0.8 -5.2 -3.6 5.0 2.8 4.4 5.1 -1.4 3.1 4.9 -2.5 -1.4 8.9 24.0 7.0 -25.6 -13.1 -8.5 9.8 4.3 9.2 10.0 -4.3 0.4 10.1 3.9 0.0 4.0 1.6 2.1 2.8 -1.3 1.3 3.3 1.5 -0.6 -0.4 -1.9 -0.7 1.1 -1.0 -1.2 -2.6 -1.8 -2.0 -9.6 -11.6 -5.8 -0.2 9.2 2.3 5.2 4.5 -0.3 -1.9 4.1 CO 0.3 77 3.1 3.0 2.0 -1.9 -1.0 -1.0 1.0 -3.0 1.0 -3.0 -1.0 1.1 3.1 -1.0 3.1 -5.9 3.2 -2.0 5.2 -1.0 -1.0 2.0 0.0 5.0 4.7 -3.6 -0.9 0.0 -2.8 -8.7 3.2 -5.2 6.5 11
- Using R Studio I Need The Code The Screenshot Shows How The Data Looks In A Xslx Excel Document Create A Variable W 1 (80.89 KiB) Viewed 26 times
- Plot the model1’s residual Density Function (write the code onhow to output the model1's residual Density Function)Paste the plot below:- Check the model1’s residual normality using the Sharpio test.Paste your results below and explain your finding (Write the codeon how to output the model1's residual normality)in one to two sentences.
DATE 2003-04-01 2003-07-01 2003-10-01 2004-01-01 2004-04-01 2004-07-01 2004-10-01 2005-01-01 2005-04-01 2005-07-01 2005-10-01 2006-01-01 2006-04-01 2006-07-01 2006-10-01 2007-01-01 2007-04-01 2007-07-01 2007-10-01 2008-01-01 2008-04-01 2008-07-01 2008-10-01 2009-01-01 2009-04-01 2009-07-01 2009-10-01 2010-01-01 2010-04-01 2010-07-01 2010-10-01 2011-01-01 2011-04-01 2011-07-01 0044 10.04 UNRATE_PCH 4.5 0.0 -4.9 -2.3 -1.8 -3.0 0.0 -2.5 -3.8 -2.6 0.0 -4.7 -2.1 0.0 -4.3 1.5 0.0 3.7 2.9 4.2 6.7 12.5 14.4 20.4 12.5 3.6 3.1 -1.0 -2.0 -1.7 0.4 -4.9 0.4 -0.7 d DFII10_PCH -6.8 13.7 -8.8 -15.8 20.9 -7.4 -10.7 1.6 -2.3 8.6 12.2 2.2 17.9 -3.9 -2.1 0.1 5.1 0.4 -21.3 -31.4 11.9 14.5 52.4 -30.8 -4.0 1.7 -21.2 4.5 -5.7 -22.1 -28.6 43.0 -26.1 -66.3 04.0 CPILFESL_PCH 0.2 0.4 0.3 0.5 0.6 0.4 0.6 0.6 0.5 0.3 0.7 0.6 0.8 0.7 0.5 0.6 0.5 0.5 0.7 0.7 0.4 0.6 0.2 0.4 0.5 0.3 0.5 0.0 0.1 0.2 0.3 0.5 0.5 0.7 or EITT01CNM156S_PDCOILWTICO_PCHPCOPPUSDM_PCH -14.9 4.3 3.1 13.4 8.4 14.5 10.0 3.3 6.4 19.2 -5.2 6.9 -1.3 2.4 -10.2 6.3 5.2 2.9 3.3 1.1 -0.6 -4.2 5.8 4.9 -0.4 -0.1 6.8 0.5 -4.4 -5.0 1.7 -0.6 2.8 11.3 3.4 -18.7 -4.3 1.4 -0.4 0.6 0.9 -44 -2.4 4.5 -1.3 AC 5.4 11.4 0.0 -15.0 -3.1 11.9 15.8 20.4 8.0 26.5 -4.4 -50.4 -26.5 38.2 14.3 11.5 3.7 -1.3 -2.3 12.0 10.5 8.5 -12.3 -1.3 6.8 17.5 32.2 2.1 2.6 8.4 5.5 3.8 10.7 14.8 15.0 46.1 6.2 -8.0 -15.7 28.4 0.9 -6.7 8.5 8.1 -9.3 -49.0 -11.7 35.6 25.3 13.4 8.7 -2.9 3.4 18.9 11.6 -5.0 -1.9 46 4 PCE PCH 1.1 2.1 11 1.7 1.3 1.6 2.0 1.2 1.7 2.1 1.1 1.6 1.3 1.3 0.8 1.5 1.0 1.1 1.3 0.6 1.2 0.3 -2.4 -0.8 0.0 1.4 0.6 0.8 0.9 0.9 1.3 1.3 1.2 0.9 05 WPU101_PCH GPDIC1_PCH RRVRUSQ156N_PCH 0.1 0.7 2.1 0.7 3.6 4.0 3.4 0.2 13.6 8.6 10.6 5.4 -0.8 -5.2 -3.6 5.0 2.8 4.4 5.1 -1.4 3.1 4.9 -2.5 -1.4 8.9 24.0 7.0 -25.6 -13.1 -8.5 9.8 4.3 9.2 10.0 -4.3 0.4 10.1 3.9 0.0 4.0 1.6 2.1 2.8 -1.3 1.3 3.3 1.5 -0.6 -0.4 -1.9 -0.7 1.1 -1.0 -1.2 -2.6 -1.8 -2.0 -9.6 -11.6 -5.8 -0.2 9.2 2.3 5.2 4.5 -0.3 -1.9 4.1 CO 0.3 77 3.1 3.0 2.0 -1.9 -1.0 -1.0 1.0 -3.0 1.0 -3.0 -1.0 1.1 3.1 -1.0 3.1 -5.9 3.2 -2.0 5.2 -1.0 -1.0 2.0 0.0 5.0 4.7 -3.6 -0.9 0.0 -2.8 -8.7 3.2 -5.2 6.5 11