Read the section about correlation (picture attached) to be able to answer quest

Question

Read the section about correlation (picture attached) to be able to answer question. Please answer all parts.
Correlation Correlation is a quantitative measure of the relationship between two variables. Correlation quantifies how consistently two variables vary together. The number that is returned in a correlation is called a n coefficient is the linear correlation coefficient, formally known as the Pearson product-moment correlation coefficient, also called Pearson's correlation coefficient, Pearson's r, or simp he correlation coefficient. Pearson's correlation coefficient is a measure of the strength and direction of the linear relationship between two variables. It is widely used in the sciences as a measure of the strength ofa linear relationship between two variables. When correlating two variables, the first step is to plot the data on a scatter plot. By themselves, scatter plots are an effective way of visualizing the relationship between two variables, uncovering the direction of and estimating the relative strength of the linear relationship between two variables. On a scatter plot, the closer the points lie along a straight line, the stronger the linear realtionship between the two variables, that is, the stronger the linear correlation. 1.20 115 1.10 1.05 1.00 0 95 0 90 0.85 0 80 80 085 00095 100 1.0511 1.15 120

Explanation / Answer

Yes the correltion coefficient is 0.743

Now, according to linear regrestion theory, this value represents a relatively MODERATE positive linear relationship between the two scales.

ie. increase of a result in the Engelaman's scale represnts almost equivalent increase in your scale and vice versa.

So, this result validates your scale to some extent, though it willl be desirable to improve your scale.

I did not attatched the calculation, if you need them, let me know below. Thanks

Related Questions

Navigate

• Browse (All)
• Browse R
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.