Can we say that there is a significant positive correlation among the data? (a = .05)

Q: Here is a scatter plot for a set of bivariate data. What would you estimate the correlation…

A: We have to find correlation coefficient

Q: When interpreting a correlation coefficient of -0.92, you would say that there is a O strong…

A: The strength and direction of linear relationship between two variables is measured by correlation,…

Q: The maximum weights (in kilograms) for which one repetition of a half-squat can be performed and the…

A: For the given data Perform hypothesis test for correlation

Q: SPSS Assignment: Correlations ne following output shows the results of a correlation analysis,…

A: Correlation, in the finance and investment industries, is a statistic that measures the degree to…

Q: Which value of r indicates a stronger​ correlation: r=0.834 or r=−0.914​?

A: We have given that,  r = 0.83 or r=−0.914​ We have to explain which value of r indicates a stronger​…

Q: a correlation value of -0.28 is considered a(n) ______ correlation. a. insignificant b. small c.…

A: Solution-: A correlation value of -0.28 is considered a(n) ______ correlation. (a) insignificant (b)…

Q: Here is a scatter plot for a set of bivariate data. What would you estimate the correlation…

A:

Q: Nrite a brief description on the correlation coefficient for the relationship between bullying by…

A: Correlation analysis

Q: Positive or negative correlation? the ciameter of an apple and its weight.

A: There should be positive correlation between diameter of apple and its weight.  Because if we…

Q: Provide an appropriate response Given the length of a Human’s femur, x, and the length of a human’s…

A: Positive correlation When there is an increase in one variable then other variable also increase.…

Q: Which is the strongest (highest) r correlation:  -0.9000 -0.6000 -0.3000 0.4500

A: Correlation r is lies between -1 and 1. The value of r near to 1 in absolute value gives the…

Q: Whn determining whether there is a correlation between two variables ,one should use a to explore…

A: Correlation is a measure of association between two continuous variables.

Q: ou would expect ______ between the number of hours of sleep per day and age for children between the…

A: Correlation measures the strength of the linear relationship.

Q: Here is a scatter plot for a set of bivariate data. What would you estimate the correlation…

A: The strength and direction of linear relationship between two variables is measured by correlation,…

Q: What is the correlation coefficient (r) between BAC and number of beers?

A: The regression equation is y = 0.018x – 0.0127, where y defines the limit of Blood Alcohol Content…

Q: Describe the range of values for the correlation coefficient.

A: r has a range from -1 to +1 inclusive. i.e., (-1<= r <= 1) Therefore the Range of correlation…

Q: se the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the…

A: A scatter plot is a graphical representation of two variables to investigate if there exists an…

Q: Which plot indicates a correlation of 0.7? Y & R 8 50 T 10

A: Here, first figure shows negative correlation because trend line goes negative axis.

Q: An r value of .8 indicates a strong positive correlation.  True  False

A: Given: To determine whether the given statement is true or false.

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.