This is what we need in order to predict our test score (well, some of it is!). Where the relationship between the predictor variable (referred to as x - in our case the hours of study) and the variable to be predicted (referred to as y - in this example the score on the test) is linear, the formula is:

y = intercept + slope * x

SPSS gives the slope and the intercept in the final table (Coefficients) under Unstandardized Coefficients in the column headed B. The row labeled (Constant) gives the intercept (in this case it has the value 2). The other row gives the value of the slope (in this case it has the value 1). Use the values obtained from your own analyzing of the data set given.

So, to predict the test score for someone who has done 3 hours of studying we calculate:

Y = a + bx

score = intercept (a) + slope(b) * hours of study (x)

score = 2 + 1 * 3

score = 5

In other words, do a moderate amount of studying and you will probably get a moderate mark!

Or right now open your data set and analyze it as shown above. You will receive an Output (results). I would save the results (name it Regression Results) I would also print out the results as you will need it to work your problems.

1. What is your intercept (a). __________________________

1. What is your slope (b). ______________________________

1. Using your obtained a and b - calculate Y, where X = 3 hours of study. ________

1. Using your obtained a and b - calculate Y, where X = 5 hours of study. ________

1. What is your R Square value _____________