Recent questions in Linear Correlation

Inferential StatisticsAnswered question

Duftgart3yb 2023-02-09

A line segment is a part of a line as well as a ray. True or False

Inferential StatisticsAnswered question

Leonel Schwartz 2022-10-02

Please, give examples of two variables that have a perfect positive linear correlation and two variables that have a perfect negative linear correlation.

Inferential StatisticsAnswered question

Will Underwood 2022-09-14

For a data set of weights and highway fuel consumption amounts of four types of automobile, the linear correlation coefficient is found and the P-value is 0.001. Please, write a statement that interprets the P-value and includes a conclusion about linear correlation.

Inferential StatisticsAnswered question

hifadhinitz 2022-09-03

(a) Give examples of two variables that have a strong positive linear correlation and two variables that have strong negative linear correlation.

(b) Explain in your own words why the linear correlation coefficient should not be used when its absolute value is too low or close to zero. Give an example.

(c) In the passage below identify the explanatory variable and the response variable. Explain why.

A nutritionist wants to determine if the amounts of water consumed each day by persons of the same weight and on the same diet can be used to predict individual weight loss.

(b) Explain in your own words why the linear correlation coefficient should not be used when its absolute value is too low or close to zero. Give an example.

(c) In the passage below identify the explanatory variable and the response variable. Explain why.

A nutritionist wants to determine if the amounts of water consumed each day by persons of the same weight and on the same diet can be used to predict individual weight loss.

Inferential StatisticsOpen question

Amoumerob34 2022-08-24

A set of data with correlation coefficient of -0.55 has a

a) strong negative linear correlation

b) weak negative linear correlation

c) moderate negative linear correlation

d) little or no linear correlation

a) strong negative linear correlation

b) weak negative linear correlation

c) moderate negative linear correlation

d) little or no linear correlation

Inferential StatisticsAnswered question

Awainaideannagi 2022-07-20

a. Two variables have a positive linear correlation. Does the dependent variable increase or decrease as the independent variable increases? Explain.

b. Two variables have a negative linear correlation. Does the dependent variable increase or decrease as the independent variable increases?

c. Describe the range of values for the correlation coefficient, r.

d. What does the sample correlation coefficient r measure? Which value indicates a stronger correlation:

${r}_{1}=0.975$ or ${r}_{2}=-0.987$. Explain, please.

b. Two variables have a negative linear correlation. Does the dependent variable increase or decrease as the independent variable increases?

c. Describe the range of values for the correlation coefficient, r.

d. What does the sample correlation coefficient r measure? Which value indicates a stronger correlation:

${r}_{1}=0.975$ or ${r}_{2}=-0.987$. Explain, please.

Inferential StatisticsAnswered question

przesypkai4 2022-07-16

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. $r=0.767,n=25$

a. Critical values: $r=\pm 0.396$, no significant linear correlation

b. Critical values: $r=\pm 0.487$ , no significant linear correlation

c. Critical values: $r=\pm 0.396$ , significant linear correlation

d. Critical values: $r=\pm 0.487$ , significant linear correlation

a. Critical values: $r=\pm 0.396$, no significant linear correlation

b. Critical values: $r=\pm 0.487$ , no significant linear correlation

c. Critical values: $r=\pm 0.396$ , significant linear correlation

d. Critical values: $r=\pm 0.487$ , significant linear correlation

If you are asking yourself questions about linear correlation, you have come to the right place. Linear correlation is a mathematical concept that looks at the linear relationship between two variables. It deals with equations and the answers to these equations. Our math site can help you understand linear correlation and how it works. We can provide you with the knowledge and the tools to answer any questions you have. We can help you to learn the equations and calculate the answers. With our help, you can gain a better understanding of linear correlation and how to use it in your own work.