T Astudy of 100 randomiy selected students from first through sixth grade finds a strong correlation between height and le that being taller causes students to read better? Why or why not? a thong correlation even if there is not Cousation a theng correlation eren a One variable can show a thong correlalion even if there is not causation

## Step 1<br />The problem presents a scenario where a study found a strong correlation between height and reading ability among 100 randomly selected students from first through sixth grade. The question asks whether this correlation implies causation, specifically whether being taller causes students to read better.<br /><br />## Step 2<br />To answer this question, we need to understand the difference between correlation and causation. Correlation refers to a statistical relationship between two variables, where changes in one variable are associated with changes in another. However, correlation does not imply causation, which means that just because two variables are correlated, it does not mean that one causes the other.<br /><br />## Step 3<br />In this case, the correlation between height and reading ability does not necessarily mean that being taller causes better reading ability. There could be other factors, such as socioeconomic status, nutrition, or access to educational resources, that influence both height and reading ability. These factors could be the actual cause of the observed correlation.<br /><br />## Step 4<br />Therefore, the correct answer is that one variable can show a strong correlation even if there is not causation. This is because correlation does not imply causation, and there could be other factors influencing the observed correlation.