Other Content

Two-Variable Statistics (TwoVar)
Analyzes paired data. List 1 is the independent variable. List 2 is the
dependent variable. You can specify an optional frequency list. The statistical
data returned using this analysis technique are:
For each list:
• Sample mean, x or y
• Sum of the data, Gx or Gy
• Sum of the squared data, Gx
2
or Gy
2
• Sample standard deviation, sx = s
n-1
x or sy = s
n-1
y
• Population standard deviation, sx = s
n
x or sy = s
n
y
• X-min or Y-min
• First quartile, Q
1
X or Q
1
Y
• Median
• Third quartile, Q
3
X or Q
3
Y
• X-max or Y-max
• Sum of squared deviations, SSx = G(x Nx)
2
or SSy = G(y Ny)
2
Additional data:
• Sample size for each data set, n
• Gxy
• Correlation coefficient, R.
Linear Regression (mx+b) (LinRegMx)
Fits the model equation y=ax+b to the data using a least-squares fit. It displays
values for m (slope) and b (y-intercept).
Linear Regression (a+bx) (LinRegBx)
Fits the model equation y=a+bx to the data using a least-squares fit. It displays
values for a (y-intercept), b (slope), r
2
, and r.
Median-Median Line (MedMed)
Fits the model equation y=mx+b to the data using the median-median line
(resistant line) technique, calculating the summary points x1, y1, x2, y2, x3, and
y3. Median-MedianLine displays values for m (slope) and b (y-intercept).
Lists&Spreadsheet Application 337