Enter the data above into the x and y columns in the linear regression applet below. You will have to copy and paste one column at a time. Below are two sets of data; a comparison of the total fat and total calories at fast food restaurants and the Olympic gold medal winning times in the 100m dash.
| Sandwich | Total Fat (g) | Total Calories |
| Hamburger | 9 |
260 |
| Cheeseburger | 13 |
320 |
| Quarter Pounder | 21 |
420 |
| Quarter Pounder w/Cheese | 30 |
530 |
| Big Mac | 31 |
560 |
| Arch Sandwich Special | 31 |
550 |
| Arch Special with Bacon | 34 |
590 |
| Crispy Chicken | 25 |
500 |
| Fish Fillet | 28 |
560 |
| Grilled Chicken | 20 |
440 |
| Grilled Chicken Light | 5 |
300 |
Enter the data above into the x and y columns in the linear regression applet below. You will have to copy and paste one column at a time.
After the data is in the applet, press the plot button and press the analyze data button.
Olympic 100 m |
|
Year |
Time (sec) |
1900 |
11 |
1904 |
11 |
1908 |
10.8 |
1912 |
10.8 |
1920 |
10.8 |
1924 |
10.6 |
1928 |
10.8 |
1932 |
10.3 |
1936 |
10.3 |
1948 |
10.3 |
1952 |
10.4 |
1956 |
10.5 |
1960 |
10.2 |
1964 |
10 |
1968 |
9.95 |
1972 |
10.14 |
1976 |
10.06 |
1980 |
10.25 |
1984 |
9.99 |
1988 |
9.96 |
1992 |
9.84 |
1996 |
9.84 |
2000 |
9.84 |
Enter the data above into the x and y columns in the linear regression applet below. You will have to copy and paste one column at a time.
After the data is in the applet, press the plot button and press the analyze data button.
Resources used above:
Linear Regression Applet. Dr. Philippe B. Laval, Kennesaw State University.