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| 2 |
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| 3 |
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LinReg |
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| 4 |
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| 5 |
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Category: |
Mathematical Calculations |
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| 6 |
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Family: |
Statistics |
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| 7 |
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Arguments: |
LRSwitch, YValues, XValues |
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| 8 |
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Meaning: |
Linear Regression |
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| 9 |
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Description: |
Solves
the slope and intercept of a Linear Regression problem. |
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| 11 |
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XValues |
1.16% |
17.13% |
18.09% |
6.58% |
4.71% |
0.75% |
12.23% |
0.41% |
3.06% |
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| 12 |
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YValues |
2.12% |
13.84% |
12.79% |
6.87% |
4.20% |
2.41% |
14.15% |
1.22% |
7.18% |
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| 13 |
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| 14 |
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| 15 |
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LR Switch |
LinReg |
LinReg |
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EXCEL |
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| 16 |
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Function |
Array |
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Functions |
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| 17 |
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Function |
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| 18 |
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R
Squared Correlation Coefficient |
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0.87 |
0.87 |
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0.87 |
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| 19 |
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Intercept |
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1 |
2.24%
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2.24%
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2.24%
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| 20 |
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Slope |
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2 |
0.70 |
0.70 |
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0.70 |
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| 21 |
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CoVariance |
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3 |
0.34%
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0.34%
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0.34%
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* |
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| 22 |
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Variance (y) |
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4 |
0.27%
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0.27%
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0.27%
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| 23 |
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Variance (x) |
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5 |
0.49%
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0.49%
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0.49%
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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* Excel's COVAR
function returns the population, |
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| 29 |
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not the sample, covariance. |
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| 30 |
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We've adjusted it here. |
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| 31 |
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| 32 |
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Note: |
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| 33 |
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n We generated the XValues and YValues input
data using the Partial Dependency function., which is in the Simulation category. |
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The formulae we used were: |
Cell D11: |
=RAND()/5 |
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| 35 |
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Cell D12: |
=PartialDependency({-0.1,0,0.2},
D11, {-0.05,0,0.1}, {0,0.05,0.15}, {0.05,0.1,0.2}, 1) |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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