Please help.
2 answers:
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Answer:
4.038
Step-by-step explanation:
The simple regression model is:
, then
.
The statistic calculated for the hypothesis test of statistical significance, for the slope, in a simple regression model is given by:
with the slope estimator,
the value of slope in the null hypothesis and
the standard error of the slope. Thus,
Answer:
Approximately normal for large sample sizes
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
In this question:
The distribution is unknown, so the sampling distribution will only be approximately normal when n is at least 30.
So the correct answer should be:
Approximately normal for large sample sizes