The correct couples are: 1) Lurking variable Lurking variables are random variables related to the variables you want to study and which affect them. Their effect is often unnoticed (that is why they are lurking), but they make stronger or weaker the relationship between the explanatory and responsive variables.
2) Line of best fit The "line of best fit" is the straight line that best represents the data in a scatter plot. The least squares method provides the steps needed to find which line minimize the difference between the expected and the observed values. Therefore, "line of best fit" and "least squares regression line" are synonymous.
3) Correlation coefficient A correlation coefficient is a number that represents the statistical relationship between two variables. Pearson's coefficient r is a measure of the strength and direction of the linear relationship between two variables.
4) Correlation An association is, in statistics, any relationship between two variables. A correlation is a measure of how strongly two variables have a linear relationship with each other. Therefore, "correlation" and "association" are synonimous.
5) Causation The term "causation" means that there is a "cause and effect" relationship between two events, meaning that one event occurs because an other event has occured. Hence, <span>there is a causal relationship between the two events.</span>
start by subtracting 2.6 and 4 you'll get -1.4 dont mind the negative because it doesn't matter, and now you add 1.4 to each number and that's how you get the next number. like 1.4+5.4=6.8 and 1.4+6.8=8.2, and so on.
