Final answer:
The weight effect, βˆ, describes the change in weight for a one-unit increase. A 95% confidence interval can be constructed for β using the standard error formula. The same approach can be used to construct a confidence interval for the multiplicative effect.
Step-by-step explanation:
The weight effect, βˆ, describes the change in the dependent variable (in this case, weight) for a one-unit increase in the independent variable. In other words, it represents the average increase in weight for every 1 kg increase.
To construct a 95% confidence interval for β, you will need the standard error of β. This can be calculated using the formula:
SE(βˆ) = standard deviation of βˆ / (square root of the sample size)
Once you have the standard error, you can use it to determine the margin of error and construct the confidence interval using the formula:
Confidence interval = βˆ ± (critical value * SE(βˆ))
For the multiplicative effect, you can use a similar approach. Calculate the confidence interval for log(βˆ) and then convert it back to the original scale to obtain the multiplicative effect.