![]() ![]() ![]() It may be the case that the pattern can be modelled by another type of graph, for example, a quadratic curve. Again, we can describe the degree, or strength, of correlation depending on how closely the points lie to the straight line.įinally, although it’s not really a type of correlation, we could say that there is no linear correlation between the two variables if they don’t look like they can be closely modelled by a straight line. That’s a line sloping downwards from left to right. And if we consider a scatter plot of the two variables, we’ll see that the points lie relatively close to a straight line with a negative slope. This time, in general, as one variable increases, the other decreases. The second type of linear correlation that exists is negative correlation. And we can also use words like moderate, strong, or weak to describe the degree of positive correlation. ![]() The strength of the positive linear correlation will be determined by how closely the points lie to the straight line. If we were to consider a scatter plot of □ against □, then if the two variables are positively linearly correlated, then, in general, the points will lie relatively close to a straight line with positive gradient, that is, sloping upwards from left to right. If the two variables whose correlation we’re assessing are □ and □, then a positive linear correlation means that, in general, as □ increases, □ also increases. Firstly, we have positive linear correlation. Let’s begin by reminding ourselves in general about the different types of linear correlation that exist. What type of linear correlation might exist between the mass loaded onto a spring and its extension. ![]()
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