Statistics

correlation, (c) small positive linear correlation, (d) large but not perfect negative linear correlation, (e) no correlation, (f) clear curvilinear correlation.

* Correlation coefficient (R-squared) – This represents how well the independent variables (X) explain the response variable (Y).

However, a correlation between two variables does not necessarily imply causation but for a causal relationship to exist between two variables there must be a correlation between the variables (Solomon W. Golomb, 2005). When predicting the Grade Point Averages, correlation might not be a good test for its prediction. This is because there is no GPA is not only influenced by intelligent quotient but it is also influenced by other external factors like Education background, family background, social and political environment among other factors. Other statistical tests may include the use of rating scales to rate qualities that cannot be directly rated through correlation by use of variables like good, fair, and excellent among others. Coefficient of correlation might also be used as a technique of predicting the Grade Point Averages. This refers to the main result of a correlation whereby it predicts significant and smaller changes among variables by use of scale r that ranges from +1.0 to -1.0.

Answer: A positive correlation means that increases in the value of one variable are associated

What is the r-value? Does the r-value suggest a positive or negative correlation? Is the correlation weak or strong? Looking at the significance value, is the correlation significant?

When calculating the correlation between two variables, the objective is to see how one variable is influenced by another variable. The bivariate

Read the directions and write answers independently. 1. (L.2) Choose the sentence with correct capitalization and punctuation. A. Mrs. Brown catches the bus at the corner of Elm and N. Grove.

Feedback: A strong correlation exists when the plotted ordered pair points are close to the line of best fit. If the points line up exactly on the line of best fit, there is a perfect correlation. The

At a glance scatter plots show whether a relationship exists between two sets of data. This data will determine correlations between students taking the SAT and ACT. Because this scatter plot is falling from left to right it has a negative slope, so therefore there is a negative correlation between these two sets of data. Although these points are falling, it is not a clear negative relationship since the clustered points are not in a straight line. Therefore, this relationship is a weak, negative relationship.

The textbook define the correlation coefficient as "a measure that is designed to indicate the strength of the relationship between two variables" (UBC Real Estate Division, 2009). The textbook also states "the correlation coefficient may be positive, negative, or zero" (UBC Real Estate Division, 2009). A strong relationship implies that there is a relationship between the two variables and "as one variable increases (decreases), the other the variable will increase (decrease)" (Estate Division, 2009). A strong relationship would have a correlation coefficient value of +1 or -1.

the correlation is 0.668; the equation of regression is CREDITS=11.7475*AGE-174.356; the slope is 11.7475 which is positive; when the predictor variable AGE increase, the response variable CREDITS also strongly increase; for instance, when AGE increase by 1, the CREDITS will increase 11.7475. There are some outliers may affect the correlation. Based on the graphs and data above, we can find out a student who is older with a litter lower GPA, but has very higher credits; the student with higher credits also has high GPA.

139). It is an assumed linear association between two variables that is quantified by a single statistical number. The correlation coefficient measures the strength of the association between the two variables, 0 means there is no correlation, 1 means there is a perfect positive correlation, -1 means there is a perfect negative correlation. "The sample correlation coefficient, denoted r, ranges between -1 and +1 and quantifies the direction and strength of the linear association between the two variables. The correlation between two variables can be positive (i.e., higher levels of one variable are associated with higher levels of the other) or negative (i.e., higher levels of one variable are associated with lower levels of the other) (bumc.bu.edu, 2013)." Correlation is the most appropriate because it is easy to calculate and easy to

2) A correlation matrix…A.Shows all simple coefficients of correlation between variablesB. shows only correlations that are zeroC. shoes the correlations that are positiveD. shows only the correlations that are statistically significant

"A correlation is a statistical to determine the tendency or pattern for two (or more) variables or two sets of data to very consistently" (Creswell, (2012). any

Besides the values are displaying a stouter association secondary to upsurge in absolute r value.