The slope of the linear regression equation y = 61. 93x - 1. 79 is attached with the response.
<h3>What is linear regression?</h3>Linear regression is the most primary and generally used predictive research. Regression calculations are utilised to represent data and to describe the association.
The slope of the linear regression equation represented in the graph is the straight-line cutting the intercepts on the y axis at 1.79.
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Answer:
D)Yes, because the difference in the means in the actual experiment was more than two standard deviations from 0.
Step-by-step explanation:
We will test the hypothesis on the difference between means.
We have a sample 1 with mean M1=18.2 (drug group) and a sample 2 with mean M2=15.9 (no-drug group).
Then, the difference between means is:
If the standard deviation of the differences of the sample means of the two groups was 1.1 days, the t-statistic can be calculated as:
The critical value for a two tailed test with confidence of 95% (level of significance of 0.05) is t=z=1.96, assuming a large sample.
This is approximately 2 standards deviation (z=2).
The test statistict=2.09 is bigger than the critical value and lies in the rejection region, so the effect is significant. The null hypothesis would be rejected: the difference between means is significant.