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.

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?

If my dependent variable (Y) is wages
If my independent variable (X) is a 2-yr. degree versus a 4-yr. degree
Can you help me with a linearregression analysis if I have wages representing a 2 and 4 year degree?
Those wages being: 2 yr. degree, $11,702, $24,509, $35,185, $34,746
Wages for a 4 yr. degree, $29,997, $33,959, $22

Demonstrate using regression functions by explaining what a regression function is and the factors which should be considered when interpreting results.

A linearregression between Y and X produced the following equation for the least squares line:
= -4.13 + 2.1x
Which of the following statements concerning this relationship is true?
a.For every one-unit increase in X, Y increases 4.13 units.
b.For every one-unit increase in X, Y decreases 2.1 units.
c.For ever

Simple LinearRegression -- Sales
"A recent study was conducted to determine the relation between advertising expenditures and sales of widgets for the first year of production.
"
You would like to determine the effect of your ad expenditures in predicting sales.
the following data was colle

Application of simple linearregression analysis to the estimation of a demand equation has yielded the following
Q = 24 - 2P
If the current product price is P=$6 and the quantity sold per time period is Q = 10, then the erro (e) for the current time period is equal to (actual quantity sold - estimated quantity sold)?
1