Question
In: Math
Regression and Correlation X Y fresh marine 147 444 139 446 160 438 99 437 120...
Regression and Correlation
| X | Y |
| fresh | marine |
| 147 | 444 |
| 139 | 446 |
| 160 | 438 |
| 99 | 437 |
| 120 | 405 |
| 151 | 435 |
| 115 | 394 |
| 121 | 406 |
| 109 | 440 |
| 119 | 414 |
| 130 | 444 |
| 110 | 465 |
| 127 | 457 |
| 100 | 498 |
| 115 | 452 |
| 117 | 418 |
| 112 | 502 |
| 116 | 478 |
| 98 | 500 |
| 98 | 589 |
| 83 | 480 |
| 85 | 424 |
| 88 | 455 |
| 98 | 439 |
| 74 | 423 |
| 58 | 411 |
| 114 | 484 |
| 88 | 447 |
| 77 | 448 |
| 86 | 450 |
| 86 | 493 |
| 65 | 495 |
| 127 | 470 |
| 91 | 454 |
| 76 | 430 |
| 44 | 448 |
| 42 | 512 |
| 50 | 417 |
| 57 | 466 |
| 42 | 496 |
1. What are the the values for "a" and "b"?
2. Pearson's correlation Coefficient value r ?
Solutions
milcah answered 2 years agoRelated Solutions
The correlation between X and Y ______________. Question options: measures the variation around the predicted regression...
The correlation between X and Y ______________.
Question options:
measures the variation around the predicted regression
equation.
measures the proportion of variation in Y that is
explained by X1 holding X2
constant.
will have the same sign as b1.
measures the proportion of variation in Y that is
explained by X1 and X2.
Question 2
The residual represents the discrepancy between the observed
dependent variable and its _______ value.
Question options:
predicted or estimated average
hypothesized
X
independent
Linear Regression and Correlation. x y 2 4.64 3 6.76 4 3.08 5 5.5 6 -5.88...
Linear Regression and Correlation.
x
y
2
4.64
3
6.76
4
3.08
5
5.5
6
-5.88
7
1.04
8
0.56
9
-2.42
Compute the equation of the linear regression line in the form y =
mx + b, where m is the slope and b is the intercept.
Use at least 3 decimal places. (Round if necessary)
y =_____ x + _____
Compute the correlation coeficient for this data set. Use at least
3 decimal places. (Round if necessary)
r=...
Linear Regression and Correlation. x y 2 10.16 3 2.19 4 3.12 5 -1.75 6 7.48...
Linear Regression and Correlation.
x
y
2
10.16
3
2.19
4
3.12
5
-1.75
6
7.48
7
9.31
Compute the equation of the linear regression line in the form y
= mx + b, where m is the slope and b is the intercept.
Use at least 3 decimal places.
y =__x +___
Compute the correlation coeficient for this data set. Use at least
3 decimal places.
r=
Compute the P-value (Use H_A: slope ≠ 0 for the alterantive
hypothesis.)...
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