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E) this relationship is a function if each value of the independent variable (m) corresponds to exactly one value of the dependent variable. A strong relationship between the predictor variable and the response variable leads to a good model Question interpretation 5.1.1 what type of relationship is shown

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5.2.2 what does the value at m = 0 represent The model can then be used to predict changes in our response variable 5.2.3 what does the gradient represent

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5.2.4 does the graph pass through the origin?.

5.1 what type of relationship is shown The relationship shown is a linear relationship because the questions refer to a gradient and whether the graph passes through the origin, which are. Since the question refers to a graph and asks about the type of relationship, value at m=0, gradient, origin, and function, we will answer each part generally as these are common graph interpretation questions. (2 marks) the gradient (or slope) of a graph represents the rate of change of the dependent variable with respect to the independent variable.

A) the relationship shown is likely linear B) the value at m = 0, assuming 'm' is the gradient, represents a constant dependent variable, signifying a horizontal line C) the gradient represents the rate of change. C) the gradient represents the rate of change of the dependent variable with respect to the.

What type of relationship is shown

What does the value at m = 0 represent What does the gradient represent Does the graph pass through the origin To estimate a value beyond the data shown, extend the.

12.3 the regression equation data rarely fit a straight line exactly Usually, you must be satisfied with rough predictions Typically, you have a set of data whose scatter plot appears to fit a straight line.