For the following dataset, describe in a sentence or two the transformation necessary to linearize the data...
x | y
1 | .7
2 | 1.3
3 | 1.8
4 | 2.1
5 | 2.3
To linearize the data, you would need to take the natural logarithm of the y-values.
To linearize the data, you need to find a transformation that will make the relationship between the x-values and the y-values linear. One common transformation is taking the logarithm of the y-values.
You would need to determine a regression equation for this data. Linear regression determines the best-fitting straight line through the points. A regression equation helps you make predictions for y based on the value of x.
