Minitab 3

docx

School

Humber College *

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Course

4500

Subject

Geography

Date

Feb 20, 2024

Type

docx

Pages

4

Uploaded by DoctorJaguarMaster226

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1. Plot the data to visualize the relationship between the variables 2. Use Fitted Line Plot to fit an appropriate regression model DIESEL.MTW Polynomial Regression Analysis: NOx versus Humidity The regression equation is NOx = 1.360 - 0.01149 Humidity + 0.000058 Humidity^2 Model Summary S R-sq R-sq(adj) 0.048005 0 63.58% 59.30% Analysis of Variance Source DF SS MS F P Regressio n 2 0.068399 0.0341994 14.84 0.000 Error 17 0.039176 0.0023045     Total 19 0.107575       Sequential Analysis of Variance Source D F SS F P Linear 1 0.017488 5 3.49 0.078
Quadratic 1 0.050910 3 22.09 0.000 3. Verify the necessary assumptions with residual plots
DIESEL.MTW Polynomial Regression Analysis: NOx versus Humidity The regression equation is NOx = 1.360 - 0.01149 Humidity + 0.000058 Humidity^2 Model Summary S R-sq R-sq(adj) 0.048005 0 63.58% 59.30% Analysis of Variance Source DF SS MS F P Regressio n 2 0.06839 9 0.034199 4 14.84 0.000 Error 17 0.03917 6 0.002304 5     Total 19 0.10757 5       Sequential Analysis of Variance Source DF SS F P Linear 1 0.017488 5 3.49 0.078 Quadratic 1 0.050910 3 22.09 0.000
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4. Comment in your own words the value of Minitab in helping the analysis and arriving at a conclusion to the business problem Minitab enables researchers to statistically analyze and visualize data, identifying trends and patterns that might not be evident otherwise. Specifically, the model summary reveals that the model explains a significant portion of the variance in NOx emissions, with an R-squared value of 63.58%. This relatively high number suggests a strong relationship between humidity and NOx emissions. In conclusion, humidity plays a crucial role in influencing NOx emissions from diesel trucks.