Question

The accompanying table Multinat Becession provide data fortar, nicotine and carbon monoxide contents in a certain brand of cigarette. All measurements are in milligramma Parta) Run the Multirear Regression Analysis in Excel with both predictor varubies. What is the adusted value to the nearest hundredth of a percent (e. 45.67 Adjusted 2- Part by What is the p value for the full modell Round answer to nearest thousandth of a percent. 0,123 Model Part c) What are the p values for the variable coefficient Round answers to the nearest hundredth of a percent. 0.12) Tarpvalu CO pvalue- Part d un simple linear regression for just Nicotine & Tar and then for just Nicotine R.CO. Write down the walues and pvalues for those two models Model p-value Model Thundredth percent. Le 12,304) thousandth percent, 0.1234) Nicotine Tail value NIET con Parte using your analyses from parts through di determine the model that is the best for these data. Use a senticance level of oos and consider each models value, value for adjusted value the values for each of the coefficients to determine the best model. Use that model to estimate the Nicotine level in a carette oftar and omg of co. Round answer to nearest hundredth of milligramm predicted icoone Lewe

Answer 1

O. 669 adjusted P-value C G 0.00863 0.008 0.020 Tar (x1) co (x2) P-value P-value 0.416 ( d) 2 povalne Nicotine & Tar 0.715 0.002 0.415 0.044 Nicotine & co means no Тол- , Nicotine & In full model p-value for co(x2) is greater than 0.0s, that CO(x2) have impact on Nicotine. In individual models model have significant p-value and also the corresponding R² value is highest among all the model. Неллсе conclude that model Nicotine & Tar is the best fit model. Prediction Nicotine 0.242 + 0.066 (Tar) - 0.0156(co) For Tar-98 co=9 Nicotine - 0.700 Answer we