Question

Using the same datasets as in problem 2, utilize numpy's polyfit function to find the slope and intercept of the regression line. (the data sets are x = [2.3, 3.1, 4.4, 5.5, 6.1, 7.7, 8.8] and y = [3.2, 4.4, 4.0, 5.9, 6.5, 7.1, 8.0])

Name: using the same datasets as in problem 2 utilize numpys polyfit function to find the slope and intercept of the regression line the data sets are x 23 31 44 55 61 77 88 and y 32 44 40 59 65 71 80
Uploaded: 2023-10-05T00:56:20-08:00
Duration: 3 min
Channel: Lucas Finney
Description: using the same datasets as in problem 2 utilize numpys polyfit function to find the slope and intercept of the regression line the data sets are x 23 31 44 55 61 77 88 and y 32 44 40 59 65 71 80

          Using the same datasets as in problem 2, utilize numpy's polyfit function to find the slope and intercept of the regression line.

(the data sets are x = [2.3, 3.1, 4.4, 5.5, 6.1, 7.7, 8.8] and y = [3.2, 4.4, 4.0, 5.9, 6.5, 7.1, 8.0])

Added by John D.

Precalculus

David Cohen, Theodore B. Lee, David… 7th Edition

Chapter 4

Instant Answer

Solved by Expert Lucas Finney

10/05/2023

Step 1

```python import numpy as np ``` Then, we define our datasets. ```python x = np.array([2.3, 3.1, 4.4, 5.5, 6.1, 7.7, 8.8]) y = np.array([3.2, 4.4, 4.0, 5.9, 6.5, 7.1, 8.0]) ``` Show more…

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Using the same datasets as in problem 2, utilize numpy's polyfit function to find the slope and intercept of the regression line. (the data sets are x = [2.3, 3.1, 4.4, 5.5, 6.1, 7.7, 8.8] and y = [3.2, 4.4, 4.0, 5.9, 6.5, 7.1, 8.0])