1. Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = 0.543, n = 25

A) Critical values: r = 0.396, significant linear correlation

B) Critical values: r = 0.487, significant linear correlation

C) Critical values: r = 0.487, no significant linear correlation

D) Critical values: r = 0.396, no significant linear correlation

Flag question: Question 2

Find the value of the linear correlation coefficient r. The paired data below consist of the temperatures on randomly chosen days and the amount a certain kind of plant grew (in millimeters).

A) -0.210

B) 0.256

C) 0

D) 0.196

Question 3

Suppose you will perform a test to determine whether there is sufficient evidence to support a claim of a linear correlation between two variables. Find the critical values of r given the number of pairs of data n and the significance level ?. n = 12, ?= 0.01

A) r = 0.708

B) r = 0.576

C) r = 0.708

D) r = 0.735

Flag question: Question 4

Determine which plot shows the strongest linear correlation

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