Deviations are normal around the

regression line (normality).

The unit slope of

regression lines for all the plant characters studied, justified the assumptions as required for model fitness (Mather and Jinks, 1982).

1), one can state that the measured plots are better approximated by the regression curve (parabola) than by the

regression line.

over 30) or if the error terms are normally distributed around the

regression line, then the standard error of the regression (SE) can be used to construct confidence intervals around point estimates generated from a regression equation.

By showing the 95% confidence interval for the

regression line, we can say that this interval includes the true

regression line with 95% probability (Figure 4).

beta] Coefficients and corresponding SEs for the

regression line are also reported.

The slopes of the probit

regression lines for larval mortality and larvae leaving the diet were lower than those for delayed larval development and total response (Fig.

It is evident from the results that the GGBFS replacements lowered the flow resistance by shifting the

regression line downwards along the y-axis, which may reduce the build-up thickness.

Student's t-test was used to compare the difference of HR, MAP, slopes of the

regression lines, and parameters of the baroreceptor function curves between groups.

96 and 1 respectively which means that these

regression lines fit the data very well.

The

regression line for the Depression confirms these observations: it is flatter (a weaker relationship between the unemployment rate and the rate of wage inflation) and shifted rightward.

We can think of the

regression line as passing through the peak of a sequence of normal distributions.