# Question: A Propose a straight line model relating math score y to

a. Propose a straight-line model relating math score (y) to percentage (x) of students below the poverty level.

b. Use the method of least squares to fit the model to the data in the FCAT file.

c. Graph the least squares line on a scatterplot of the data. Is there visual evidence of a relationship between the two variables? Is the relationship positive or negative?

d. Interpret the estimates of the y intercept and slope in the words of the problem.

e. Now consider a model relating reading score (y) to percentage (x) of students below the poverty level. Repeat parts a-d for this model.

b. Use the method of least squares to fit the model to the data in the FCAT file.

c. Graph the least squares line on a scatterplot of the data. Is there visual evidence of a relationship between the two variables? Is the relationship positive or negative?

d. Interpret the estimates of the y intercept and slope in the words of the problem.

e. Now consider a model relating reading score (y) to percentage (x) of students below the poverty level. Repeat parts a-d for this model.

## Answer to relevant Questions

The quality of the orange juice produced by a manufacturer is constantly monitored. There are numerous sensory and chemical components that combine to make the best-tasting orange juice. For example, one manufacturer has ...The American Ceramic Society Bulletin (Feb. 2005) study of bricks that line aluminum smelter pots, You fit the simple linear regression model relating brick porosity (y) to mean pore diameter (x) to the data in the SMELTPOT ...Refer to The Sport Journal (Winter 2007) study of a new method for ranking the total driving performance of golfers on the Professional Golf Association (PGA) tour, You fit a straight-line model relating driving accuracy (y) ...Calculate r2 for the least squares line in Exercise 11.14. In Exercise 11.14 The accompanying table is similar to Table 11.3. It is used to make the preliminary computations for finding the least squares line for the given ...For a given x, a confidence interval for E (y) will always be wider than a prediction interval for y.Post your question