AP Statistics 2017

Residuals When we developed the LSRL, we referred to y – ŷ (the actual value – the predicted value ) as ...

solution: (a) Using the calculator (LinReg(a+bx) L1, L2, Y1) , we find = 64.94 + 0.634(age ), r = 0.993. ...

What you are interested in is the visual image given by the residual plot, and it doesn’t matter if the resi ...

to predict the weight of the student whose height is on the slip of paper you have drawn. What is your bes ...

computer printout above. The first is the “St Dev of x ” (0.2772 in this example). This is the standard ...

(quadratic). Population tends to grow exponentially, at least for a while. Even though you could find ...

The scatterplot of Hours versus ln (Number ) and the residual plot for ln ( ) = –0.0047 + 0.586(Hours ) ar ...

Interesting Diversion: You will find a number of different regression expressions in the STAT CALC menu: Lin ...

Answer: A is an outlier because it is removed from the general pattern of the rest of the points. It is an influ ...

Answer : The standard error of the slope of the regression line is 0.5990. It is an estimate of the chan ...

c. 0.34 d. 0.082 e. 1.09 Consider the following residual plot: Which of the f ...

The correlation between two variables x and y is –0.26. A new set of scores, x * and y *, is constr ...

in the graph marked with the square? The regional champion in 10 and under 100 m backstroke has h ...

Consider the following dataset: Given that the LSRL for these data is ŷ = 26.211 – 0.25x , ...

A study was conducted in a mid-size U.S. city to investigate the relationship between the number of ...

d. The least-squares regression equation for the given data is ŷ = 3 + x . Calculate the sum of the s ...

Explain the difference between a statistic and a parameter. True–False. The area under a normal curve ...

differences y – would stay the same since each y -value is also 12 larger. By taking the negative of e ...

Taking the natural logarithm of each y -value and finding the LSRL, we have ln ( ) = 0.914 + 0.108 (d ...

(b) (r is positive since the slope is positive). (c) = –0.3980 + 0.1183(20) = 1.97 crimes per thousand e ...