Answer:
Correlation does not mean <em>causation</em> even after having a relatively high correlation coefficient as a result.
Step-by-step explanation:
Correlation and causation are not the same. Correlation does not mean that variations in one variable <em>cause</em> variations in the second variable. Instead, correlation considers that variations in one variable <em>corresponds</em> with variations of the second variable. No more.
Correlation is an important first step to establish that one variable possibly can cause some effect on the other, but it is not a definitive answer to this question. It is crucial to find other possible factors that can explain what causes some effect.
As a conclusion, a positive and relative high correlation coefficient does not necessarily mean causation. It simply tells us that some study found that people that listen to loud music are also people with poor hearing problems, and possibly a cause to the latter variable is to listen loud music repeatedly, but it is a must to find other possible factors before definitely concluding that.
<span>To convert from meters to feet ( m to f ) is a simple conversion. You can use 1 m = 3.28 ft or 1 m = 39.37 inches and just multiply. But this converter is designed to convert an entry in meters into both feet and inches. So the answer is D.: 196.85 inches.</span>
Answer:
1. First box, the missing fraction = 1/10
2. For the 2nd box
a. The missing fraction = 3/10
b. Percentage = 30%
3. For 7/10
Percentage = 70%
Step-by-step explanation:
From the question given above, the following data were obtained:
The strip is divided into 10 equal parts.
1. For the first box:
The missing fraction = 1/10
2. For the 2nd box
a. The missing fraction = 3/10
b. Percentage = 3/10 × 100 = 30%
3. For 7/10
Percentage = 7/10 × 100 = 70%
Slope: 0 | Y intercept 0, 33
