Suppose that the scatterplot of (log x, log y) shows a strong positive correlation close to 1. which of the following are
true?
i. the variables x and y also have a correlation close to 1.
ii. a scatterplot of (x, y) shows a strong nonlinear pattern.
iii. the residual plot of the variables x and y shows a random pattern.
(a) i only
(b) ii only
(c) iii only
(d) i and ii
(e) i, ii, and iii

(d) I and II

Step-by-step explanation:

The correlation is a measurement of a dependence between 2 variables. If the logarithm of the correlation function shows a linear tendency, it because the correlation between x and y shows a exponential tendency.

This mean that x and y are non linear correlated, but them are correlated.

For this type of data is used a non linear correlation technique know it as logarithm correlation.

Option III is incorrect because random patterns have a correlation value close to 0, which is not the case.

step-by-step explanation:

consider an orange peel: if you want to try and lay it flat, you have to stretch it, we know exactly how things are being stretched or squashed at any given point. we have many different map projections because each has different patterns of some projections can even preserve certain features of the earth without

they used 313 gallons of paint