| Correlation coefficent | Strenth of relationship |
| ±0.70-1.00 | strong |
| ±0.30-0.69 | moderate |
| ±0.00-0.29 | None (.00) to weak |
In given case two variables are strongly negatively realted to each other. negative indicadicating minus symbol. Strongly indicates strong relation. According to above table strong relation correlation coefficient will be in ±70-1.00. (-0.85 satisfying two conditions that negative and strong) so
Answer : -0.85
When two variables are strongly negatively related to each other, such as the number of hours...
correlation measures the degree to which two variables are related to one another. Here are the definitions of the three possibilities: Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation....
Test the claim that the correlation between two variables is zero when a sample of 27 points has the correlation coefficient of 0.35. Test with alpha = 0.1.
Pick any two variables that you feel may be related and estimate what you think the strength of the correlation coefficient would be for those two variables. In your response, estimate the value of r. For example, specify a strong (.7 to .9), medium (.4 to .6), or low (0 to .3) value for r. The value of the coefficient can be positive or negative. For example, consider an increase in police patrols in a neighborhood and the number of...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
The concept of statistics where we look at the amount and type of relationship that exists between two variables is the correlation. We can consider whether or how two variables are related to each other and how that relationship functions. For example, if you think that the more you study, the higher your grades will be, you are using correlation and prediction. You may have observed that as the number of hours you spend studying increases, so do your overall...
1. Midose’s Stables used two different independent variables (trainer hours and number of horses) in two different equations to evaluate the cost of training horses. The most recent results of the two regressions are as follows: Trainer’s hours: Variable Coefficient Standard error t-Variable Constant $1,004.65 $217.93 4.61 Independent variable $22.99 $3.23 7.11 r2 = 0.56 Number of horses: Variable Coefficient Standard error t-Variable Constant $5,240.95 $1,180.40 4.44 Independent variable $951.48 $271.85 3.50 r2 = 0.63 What is the estimated total...
478: There is strong interaction between two variables. This means that: A. An interaction occurs when the effect of one input factor on the output depends upon the level of another input factor B. An interaction occurs when there is a strong correlation between two factors C. An interaction occurs when the effect of one input factor on the output depends upon the level of the same input factor D. An interaction occurs when two or more factors are confounded...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line.ỹ = bo + bx for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in...
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line. 9 = b + b x. for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given....
The table below gives the number of hours spent unsupervised each day as we'll as the overall grade averages for seven randomly selected middle school students. uising this data. consider the equation of the regression line. by by, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind he correlation coefficient may or may not be statistica y s rificant for the data ven. Remember, in...