Answer:
-3
Step-by-step explanation:
Slope = change of x over change of y
6 over 2
3
line goes down so slope is negative
-3
Solution :
The level of significance refers to the probability of the null hypothesis that may be rejected in the study by the observer. As the sample size increases, the p value also increases but the significance remains same. When the sample size increase and becomes large, the null hypothesis can be rejected more easily.
The business decisions are taken defending the significance level of the statistical validation in cases of uncertainty. Suppose the null hypothesis is the sales after the marketing campaigning remains same. The company will launch the marketing campaign when the confidence level is 95% so that after the campaign the sales will increase. It means that the significance level must be high enough for rejecting null hypothesis of sales post of the marketing campaign that remains same.
When the sample size increases, the sensitivity of hypothesis increases, and for a large sample, the hypothesis may be rejected even though it is true.
Answer:
49
Step-by-step explanation:
7^x
If x=2
7^2
49
Answer:
Sugar:
Honey:
Sugar substitute:
Step-by-step explanation:
35 + 14 + 21 = 70
35 out of 70 = 50%
14 out of 70 = 20%
21 out of 70 = 30%
<em>Hope this helps!</em>
We have here a simple linear regression since it involves 1 dependent variable and 1 independent variable. Linear regression is used to present the relationship between variables. In the problem, given the equation y = 2.1x + 130, we are looking for the amount the company expect in sales if it spends $50 in advertising? We will have a direct substitution on the given equation using x = $50.The answer will be $235 - it is the expected sales at $50 spent on advertising .
