Respuesta :
Answer:
The overview of the given situation is described in the explanation segment below.
Step-by-step explanation:
- By the details received, the reference variable becomes actual prevalence or occurrence of another virus whereas the descriptive variable becomes precipitation 'Precipitation compensated for 79% throughout variability with prevalence.'
As we know that the determination's coefficient will be:
⇒  [tex]R^2[/tex]
(Percent of variance in the answer variable described by the explanatory variable).
Now the correlation among the two variables will be:
As we know,
⇒  [tex]r^2=R^2[/tex]
⇒  [tex]r^2=0.79[/tex]
⇒  [tex]r=\sqrt{0.79}[/tex]
⇒  [tex]r=0.889[/tex]
The percentage value of 79% given in the context is the percentage of variation in the prevalence of Hantavirus which can be explained by precipitation. Hence, the coefficient of determination, R².
- The Coefficient of determination is a metric used in modeling to show how the proportion of the change in the dependent variable which is due to the independent variable.
- The Coefficient of determination, R² ranges between 0 and 1 with 1 meaning 100%.
Hence, the metric shows that 79% of changes in prevalence is caused by the regression line, hence the R² value.
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