Solving Quadratic Equations
Matrix Transposition
\[\left[\matrix{4&1\cr 3&2\cr 2&3\cr}\right]^\prime =\left[\matrix{4&3&2\cr 1&2&3\cr}\right]\]
Matrix Addition
\[A+B = C\]
\[\small\left[\matrix{1&4\cr 2&5\cr 3&6\cr}\right]+
\left[\matrix{5&6\cr 4&7\cr 3&8\cr}\right] =
\left[\matrix{6&10\cr 6&12\cr 6&14\cr}\right]\]
\[B + A = C\] \[\small\left[\matrix{5&6\cr 4&7\cr 3&8\cr}\right]+
\left[\matrix{1&4\cr 2&5\cr 3&6\cr}\right] =
\left[\matrix{6&10\cr 6&12\cr 6&14\cr}\right]\]
Examples
Multiply
\[\left[\matrix{1&2&3\\
2&1&1}\right]\left[\matrix{1&1\\
2&2\\
3&3\\}\right]\]
** Solve for x,y,z:
\[\eqalign{
3x+y+4z &=&17\\
1x+3y + 2z &=&13\\
2x+2z&=&8\\}\]
}$$
Regression Length vs Price
Call:
lm(formula = y ~ x)
Residuals:
Min 1Q Median 3Q Max
-92.43 -62.38 -34.93 75.12 150.49
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 91.63228 60.88581 1.505 0.15623
x 0.26433 0.08252 3.203 0.00692 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 88.53 on 13 degrees of freedom
Multiple R-squared: 0.4411, Adjusted R-squared: 0.3981
F-statistic: 10.26 on 1 and 13 DF, p-value: 0.006924