In: Statistics and Probability
Simple regression was employed to establish the effects of
childhood exposure to lead. The effective sample size was about 122
subjects. The independent variable was the level of dentin lead
(parts per million). Below are regressions using various dependent
variables.
(a) Calculate the t statistic for each
slope, at significance level = 0.01. (Negative values
should be indicated by a minus sign. Round your answers to 2
decimal places.)
Dependent Variable | R2 | Estimated Slope | Std. Error | tcalculated | p-value | Differ from 0? | ||||||||
Highest grade achieved | .061 | −0.027 | 0.009 | .008 | (Click to select) Yes No | |||||||||
Reading grade equivalent | .121 | −0.070 | 0.018 | .000 | (Click to select) No Yes | |||||||||
Class standing | .039 | −0.006 | 0.003 | .048 | (Click to select) No Yes | |||||||||
Absence from school | .071 | 4.8 | 1.7 | .006 | (Click to select) Yes No | |||||||||
Grammatical reasoning | .051 | 0.159 | 0.062 | .012 | (Click to select) Yes No | |||||||||
Vocabulary | .108 | −0.124 | 0.032 | .000 | (Click to select) No Yes | |||||||||
Hand-eye coordination | .043 | 0.041 | 0.018 | .020 | (Click to select) Yes No | |||||||||
Reaction time | .025 | 11.8 | 6.66 | .080 | (Click to select) Yes No | |||||||||
Minor antisocial behavior | .025 | −0.639 | 0.36 | .082 | (Click to select) Yes No |
Concept
Solution
Arranging the data in the proper format
Dependent Variable | R-square | Estimated slope | Std. Error | t-calculated |
Highest grade achieved | 0.061 | -0.027 | 0.009 | |
Reading grade equivalent | 0.121 | -0.070 | 0.018 | |
Class standing | 0.039 | -0.006 | 0.003 | |
Absence from School | 0.071 | 4.800 | 1.700 | |
Grammatical reasoning | 0.051 | 0.159 | 0.062 | |
Vocabulary | 0.108 | -0.124 | 0.032 | |
Hand-eye coordination | 0.043 | 0.041 | 0.018 | |
Reaction time | 0.025 | 11.800 | 6.660 | |
Minor antisocial behavior | 0.025 | -0.639 | 0.360 |
R-sq is less than or equal to 1 and positive, so the first column hast to be R-square
Estimated slope and std. error is needed to calculate t-statistic, so based on this information I have populated the table.
Now,
t-statistic for slopes = Estimatd slope / std. error
Calculating t-statistic for each slope as in the table
Dependent Variable | R-square | Estimated slope | Std. Error | t-statistic |
Highest grade achieved | 0.061 | -0.027 | 0.009 | -0.027/0.009 = -3.00 |
Reading grade equivalent | 0.121 | -0.070 | 0.018 | -0.070/0.018 = -3.89 |
Class standing | 0.039 | -0.006 | 0.003 | -0.006/0.003 = -2.00 |
Absence from School | 0.071 | 4.800 | 1.700 | 4.800/1.700 = 2.82 |
Grammatical reasoning | 0.051 | 0.159 | 0.062 | 0.159/0.062 = 2.56 |
Vocabulary | 0.108 | -0.124 | 0.032 | -0.124/0.032 = -3.88 |
Hand-eye coordination | 0.043 | 0.041 | 0.018 | 0.041/0.018 = 2.28 |
Reaction time | 0.025 | 11.800 | 6.660 | 11.8/6.6 = 1.77 |
Minor antisocial behavior | 0.025 | -0.639 | 0.360 | -0.639/0.36 = -1.78 |