For this association, the correlation coefficient of 0.9783 indicates that there is a positive strong linear relationship between time in seconds and number of dominoes, meaning as time increases so does the number of dominoes. The slope of the regression line is positive, so, as assumed, as the number of dominoes increases the time in seconds for them to fall also increases. Accordingly, the slope, b, is positive and equals 0.025. The regression line predicts that the time in seconds for the dominoes to fall increases by 0.025 for every increase of 1 unit in the number of dominoes. As for the y-intercept, a, the regression line predicts
For this association, the correlation coefficient of 0.9783 indicates that there is a positive strong linear relationship between time in seconds and number of dominoes, meaning as time increases so does the number of dominoes. The slope of the regression line is positive, so, as assumed, as the number of dominoes increases the time in seconds for them to fall also increases. Accordingly, the slope, b, is positive and equals 0.025. The regression line predicts that the time in seconds for the dominoes to fall increases by 0.025 for every increase of 1 unit in the number of dominoes. As for the y-intercept, a, the regression line predicts