The following table shows the mortality rates (in deaths per 1000 live births) for male and female infants, of all races, in the United States, from 1980 to 1997.

1. Write at least two important conclusions from observing the data in the table.

2. Make a neat and careful graph entitled Infant Mortality Rates by putting Year on the horizontal axis and Number of Infant deaths (per thousand) on the vertical axis. Use the year 1980 as t = 0, and plot both sets of data on the same axis. The resulting graphs should be a series of dots (that is, a scatter plot); use two different styles of dots, for instance, squares and pulses. Do not connect the dots with a line. Label which graph is for males and which is for females.

3. Use your calculator to find the linear regression lines for both the male and femal data sets. Write the equations of the linear regression lines that the calculator gives you, using 4 decimal places for a and b in y = ax + b (x is really the variable t). label which equation represents male infant deaths and which is female infant deaths.

"The linearregression line is sometimes called the least squares line. Why?"
What is the idea of "least squares"?
What is the connection between "least squares" and linearregression?
Could "least squares" and regression be generalized to more complicated cases than lines?

Simple LinearRegression and Multiple Regression.
I'd like to ask whether you think multiple regression (the use of more IV's) is always better than simple regression? Why or why not?
What problems may exist with multiple regression that are not an issue for simple linearregression?

1. Does the strength of the correlation depend on the direction of the correlation ( + or -)?
2. How does linearregression relate to straight lines in algebra (slope, y-intercept, x and y)?
3. In regression, x predicts y. Does x cause y to happen?
4. What is the difference between the independent and dependent variabl

1. Describe what a line is that satisfies the least-squares property-what is it and what is the function? (Please share your own way of understanding it).
2. This week we looked at regression analysis. What is the difference between a simple regression analysis and multiple regression? Please give examples.

Develop simple linearregression models for predicting Games Won as a function of each of the independent variables in the 2000 NFL Data.xls worksheet individually. Do the assumptions of linearregression hold for your models? How do these models compare to the multiple regression models?

I used the formula Y =a+bX but
1.Regarding the causal method of linearregression:
a.What is the appropriate linearregression model (equation) to forecast sales?
Use Excel and the LINEST function to create it.
b.Use the equation to generate your forecasts for months 16-19. NOTE: There is NO missing information.

The annual salary of an electrical engineer is given in terms of the years of experience by the table below. Find the equation of linearregression for the above data and obtain the expected salary for an engineer with 45 years of experience. Round to the nearest $100.
x y
2 53.5
5 56.3
9 59.8
14 6