(If a particular pair of values is repeated, enter it as many times as it appears in the data). In the STAT list editor, enter the X data in list L1 and the Y data in list L2, paired so that the corresponding ( x, y) values are next to each other in the lists. USING THE TI-83, 83+, 84, 84+ CALCULATOR Using the Linear Regression T Test: LinRegTTest Interpretation: For a one-point increase in the score on the third exam, the final exam score increases by 4.83 points, on average.Slope: The slope of the line is b = 4.83.Interpretation of the Slope: The slope of the best-fit line tells us how the dependent variable ( y) changes for every one-unit increase in the independent ( x) variable, on average. You should be able to write a sentence interpreting the slope in plain English. It is important to interpret the slope of the line in the context of the situation represented by the data. The slope of the line, b, describes how changes in the variables are related. You should NOT use the line to predict the final exam score for a student who earned a grade of 50 on the third exam, because 50 is not within the domain of the x-values in the sample data, which are between 65 and 75. You could use the line to predict the final exam score for a student who earned a grade of 73 on the third exam. If the scatter plot indicates that there is a linear relationship between the variables, then it is reasonable to use a best-fit line to make predictions for y given x within the domain of x-values in the sample data, but not necessarily for x-values outside that domain. Remember, it is always important to plot a scatter diagram first.
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