Try Your Own Data (Optional)

You may have your own data that you would like to try in the dynamic graph on this page. Or perhaps your instructor has suggested some data for you to try. If so, fill in the two boxes below and then click on the "Make Graph" button below.
Enter a name for your data or outcome variable (the variable for the Y or vertical axis):
(Short names are best and names may not contain blanks or punctuation.)

Enter the data values separated by blanks or commas in one long row. The maximum number of data values is 25.

Data:
(e.g., 23 36 28 42 35 39 29 30 25

Enter a name for your predictor variable (the variable for the X or horizontal axis):
(Short names are best and names may not contain blanks or punctuation.)

Enter the predictor values separated by blanks or commas in one long row. The maximum number of data values is 25.

Data:
(e.g., 23 36 28 42 35 39 29 30 25
Note: there must be as many predictor values as data values.)

 

 
 
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between stress and mental health symptoms in college students?

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Business

Cryer and Miller (1994) on p. 178 present an example of two variables that might be related: a house's size, as measured in hundreds of square feet of living area, and its market value.
Parcel 1 2 3 4 5 6 7 8 9 10
SqFt 5.44 6.94 7.67 8.25 8.99 9.65 10.33 10.60 11.06 12.98
MarketValue 25.2 37.4 33.6 38.0 37.6 37.2 40.4 44.8 42.8 45.2

StatView calculates the best-fitting regression line as
Market = 16.286 + 2.386 SqFt
In the graph below, confirm that this line makes the sum of squared errors (see the error meter) as small as possible.

Looking at the best line, does it appear that there is a positive or negative relationship between a parcel's size in square feet (100s) and market value?

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Engineering

DeVore (1995) presents the following example on p. 475:

The paper "A Study of Stainless Steel Stress-Corrosion Cracking by Potential Measurements" (Corrosion, 1962, pp. 425-432) reports on the relationship between applied stress (in kg/sq mm) and time to fracture (in hours) for 18-8 stainless steel under uni-axial tensile stress in a 40% CaCl2 solution at 100C. Ten different settings of applied stress were used, and the resulting data values (as read from a graph which appeared in the paper) were:

Test 1 2 3 4 5 6 7 8 9 10
Stress 2.5 5 10 15 17.5 20 25 30 35 40
FailTime 63 58 55 61 62 37 38 45 46 19

StatView calculates the best-fitting regression line as
FailTime = 66.418 - 0.901 Stress
In the graph below, confirm that this line makes the sum of squared errors (see the error meter) as small as possible.

Looking at the best line, does it appear that there is a positive or negative relationship between the stress applied and the time to failure?

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Biology

Ott (1993) presents this example on p. 452: Fifteen male volunteers ate a low-cholesterol diet for four weeks. Below are the ages and the reduction in cholesterol (in mg per 100 ml of blood serum) for each participant:
Participant 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Age 45 43 46 49 50 37 34 30 31 26 22 58 60 52 27
Reduce 30 52 45 38 62 55 25 30 40 17 28 44 61 58 45

StatView calculates the best-fitting regression line as
Reduce = 11.43 + 0.752 Age
In the graph below, confirm that this line makes the sum of squared errors (see the error meter) as small as possible.

Looking at the best line, does it appear that there is a positive or negative relationship between a dieter's age and the amount of cholesterol reduced?

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