2. 1. A positive correlation. As one quantity increases so does the other. 2. A negative correlation. As one quantity increases the other decreases. 3. No correlation. Both quantities vary with no clear relationship. Scatter Plots Scatter plots are used to show whether there is a relationship between two sets of data. The relationship between the data can be described as either: Shoe Size Annual Income Height Shoe Size Soup Sales Temperature Positive Correlation Negative Correlation No Correlation

3. Scatter Plots 1. A positive correlation. As one quantity increases so does the other. 2. A negative correlation. As one quantity increases the other decreases. 3. No correlation. Both quantities vary with no clear relationship. Scatter plots are used to show whether there is a relationship between two sets of data. The relationship between the data can be described as either: Shoe Size Annual Income Height Shoe Size Soup Sales Temperature A positive correlation is characterised by a straight line with a positive slope.A negative correlation is characterised by a straight line with a negative slope.

4. Positive Negative None Negative Positive Negative State the type of correlation for the scatterplots below and write a sentence describing the relationship in each case. Height Grade 3 Results Sales of Sun screen Maths test scores Heating bill ($) Car engine size (cc) Outside air temperature Daily hours of sunshine Physics test scores Age of car (years) Value of car ($) Gas consumption (mpg) 1 2 3 4 5 6 People with higher maths scores tend to get higher physics scores. As the engine size of cars increase, they use more petrol. (Less mpg) There is no relationship between KS 3 results and the height of students. As the outside air temperature increases, heating bills will be lower.People tend to buy more sun cream when the weather is sunnier.The older the car the less its value.

5. Weak Positive A positive or negative correlation is characterised by a straight line with a positive /negative slope. The strength of the correlation depends on the spread of points around the imagined line. Strong Positive Weak NegativeStrong Negative