Check the assumptions of the linear model (LINE) for this data. State your concl

Question

Check the assumptions of the linear model (LINE) for this data. State your conclusion about whether the use of the linear model is advisable in this case.

Linearity?

Independence?

Normality?

Equal variance?

0.4 0.2 0.0 O O 0.2 2.6 2.8 3.0 3.2 Predicted Value 0.4 0.2 0.0 0.2 -2 -1 2 Quantile 40 30 20 -0.375 -0.075 0.225 0.525 Residual Fit Diagnostics for logvo 2.6 2.8 3.0 3.2 Predicted Value 3.25 3.00 o 2.75 2.50 2.50 2.75 3.00 3.25 Predicted Value Fit-Mean Residua 0.4 0.2 0.0 0.2 0.4 0.0 0.4 0.8 0.0 0.4 0.8 Proportion Less o o 0.05 0.10 0.15 0.20 Leverage 0.20 0.15 32 0.10 0.05 0.00 0 5 10 15 20 25 30 Observation Observations 30 Parameter Error DF 28 MS 0.0229 Square 0.6308 Adj R-Square 0.6176

Explanation / Answer

From the predicted value graph says that , there is linearity in the model. Residual logoc in we see that, there are constant variance(Means equal variance). The quantile graph says that there is a data normaly distributed, because all points lie on the that line and residual graph shape is Bell shaped so that normally distributed the data. The leverage graph says that , there are not dependent variables in the data.

Related Questions

Navigate

• Browse (All)
• Browse C
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.