We appreciate your visit to 11 What is the estimated equation of the line Write out the numeric equation 12 What is the interpretation of b 0 Write out the. This page offers clear insights and highlights the essential aspects of the topic. Our goal is to provide a helpful and engaging learning experience. Explore the content and find the answers you need!
Answer :
Final answer:
The estimated equation of the line is y = b0 + b1x, with a numeric equation of y = 1.75x. The interpretation of b0 is the y-intercept and the interpretation of b1 is the rate of change between x and y. The R-squared value of 0.73 indicates that 73% of the variation in y can be explained by x. The model's statistical significance depends on the F-test and the coefficients' significance depends on their p-values. Predictive vehicle mileage for specific curb weights can be calculated using the estimated equation. Other independent variables that might explain the dependent variable depend on the specific context.
Explanation:
The estimated equation of the line is written as y = b0 + b1x, where b0 and b1 are the coefficients. The numeric equation for the estimated equation of the line is: y = 1.75x
The interpretation of b0 is that it is the value of y when x is equal to 0. In other words, it represents the y-intercept of the line.
The interpretation of b1 is that it represents the rate of change between the independent variable (x) and the dependent variable (y). In this case, it indicates that for every unit increase in x, y will increase by 1.75.
The numeric value of R-squared is 0.73. Interpreting R-squared means that 73% of the variation in the dependent variable (y) can be explained by the independent variable (x).
To determine if the model is statistically significant, we can use the F-test. Without the specific data and details of the model, it is not possible to provide a definite answer. However, if the p-value associated with the F-test is less than a predetermined level of significance (usually 0.05), we can conclude that the model is statistically significant.
To determine if the coefficients b0 and b1 are statistically significant, we can look at their p-values. If the p-values are less than a predetermined level of significance (usually 0.05), we can conclude that the coefficients are statistically significant. Without the specific data and details of the model, it is not possible to provide a definite answer.
To predict the vehicle mileage (mpg) for a curb weight of 2300lbs. using the regression analysis, we can substitute the value of x into the estimated equation of the line y = b0 + b1x. The predictive vehicle mileage in this case would be 2300 * 1.75 = 4025 miles per gallon.
Similarly, to predict the vehicle mileage (mpg) for a curb weight of 3300lbs., we can substitute the value of x into the estimated equation of the line y = b0 + b1x. The predictive vehicle mileage in this case would be 3300 * 1.75 = 5775 miles per gallon.
In terms of other independent variables that might explain the dependent variable, it would depend on the specific context of the regression analysis and the relationship between the variables being studied. Additional factors such as engine size, aerodynamics, or vehicle type could potentially explain variations in vehicle mileage.
Learn more about Regression analysis here:
https://brainly.com/question/31873297
#SPJ11
Thanks for taking the time to read 11 What is the estimated equation of the line Write out the numeric equation 12 What is the interpretation of b 0 Write out the. We hope the insights shared have been valuable and enhanced your understanding of the topic. Don�t hesitate to browse our website for more informative and engaging content!
- Why do Businesses Exist Why does Starbucks Exist What Service does Starbucks Provide Really what is their product.
- The pattern of numbers below is an arithmetic sequence tex 14 24 34 44 54 ldots tex Which statement describes the recursive function used to..
- Morgan felt the need to streamline Edison Electric What changes did Morgan make.
Rewritten by : Barada
