3. If instead we use a 1% significant level, the results v [ Select ] statistically significant. are not are
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
4. Answer question 3
![A typical U.S. adult types 40 words per minute (wpm), on average. In
order to assess if the mean typing speed for all users of Gmail using
Smart Compose has significantly improved, we took a random sample
of Gmail Smart Compose users and recorded their typing speeds. We
would like to test Ho: µ = 40 wpm versus Ha: µ > 40 wpm.
The relevant R output provided below.
sd se(mean)
mean
40.6
2.72
0.343
One Sample t-test
data: wpm
t = 1.75, df = 62, p-value
alternative hypothesis: true mean is greater than 40
= 0.043
%3D
Complete the following 4 statements:
1. The resulting sample mean is [ Select ]
standard errors above the hypothesized population mean value of
40 wpm.
2. The decision was to reject Ho at the 5% significance level,
therefore there is sufficient evidence to say that the
[ Select ]
v is more than 40 wpm.
3. If instead we use a 1% significant level, the results
v [ Select ]
statistically significant.
are not
are
4. Tnis stuay is baseg on a rangom sample of
[ Select ]
v Gmail Smart Compose users.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2b31a72c-6450-4a72-9d6f-7562259052d5%2Fc8f62385-a08b-4d7d-828a-4124909b71ef%2Feel85t_processed.png&w=3840&q=75)
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