a. Find the correlation coefficient: f = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Hạ: [?v] The p-value Is: (Round to four decimal places) C Use a level of significance of o context of the study. 0.05 to state the COntlusion of the hypothesis test in the
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.
 alt="A biologist looked at the relationship between number of seeds a plant produces and the percent of
those seeds that sprout. The results of the survey are shown below.
49 40 54 56 62
58
47 60
59
Seeds Produced 56
Sprout Percent 49 | 58.5 | 50 | 51.5 | 54.5 63
62
52
Round to 2 decimal places.
a. Find the correlation coefficient: r =
b. The null and alternative hypotheses for correlation are:
Họ: ?v = 0
The p-value Is:
(Round to four decimal places)
t Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the
context of the study.
O There is statistically insignificant evidence
seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds.
conclude that a plant that produces more
O There is statistically significant evidence to conclude that a plant that produces more
seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds.
O There is statistically significant evidence to conclude that there is a correlation between
the number of seeds that a plant produces and the percent of the seeds that sprout.
Thus, the regression line is useful.
O There is statistically insignificant evidence to conclude that there is a correlation
between the number of seeds that a plant produces and the percent of the seeds that
sprout. Thus, the use of the regression line is not appropriate.
d. p
(Round to two decimat places)
e. Interpret r:
O There is a 47% chance that the regression line will be a good predictor for the percent of
seeds that sprout based on the number of seeds produced.
There is a large variation in the percent of seeds that spreut, bt if ynI only look at
plants that pretuce a fiet anter of sds this variatn en avera ISTdued ty
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 alt="plants that produce a fixed number of seeds, this variation on average is reduced by
47%.
47% of all plants produce seeds whose chance of sprouting is the average chance of
sprouting.
O Given any group of plants that all produce the same number of seeds, 47% of all of
these plants will produce seeds with the same chance of sprouting.
f. The equation of the linear regression line is:
(Please show your answers to two decimal places)
g. Use the model to predict the percent of seeds that sprout if the plant produces 56 seeds.
(Please round your answerr to the nearest whole number.)
Percent sprouting =
h. Interpret the slope of the regression line in the context of the question:
O For every additional seed that a plant produces, the chance for each of the seeds to
sprout tends to decrease by 0.50 percent.
O The slope has no practical meaning since it makes no sense to look at the percent of the
seeds that sprout since you cannot have a negative number.
O As x goes up, y goes down.
1. Interprêt the y-intercept in the context of the question:
O The best prediction for a plant that has 0 seeds is 82.4 percent.
O The y-intercept has no practical meaning for this study.
O If plant produces no seeds, then that plant's sprout rate will be 82.4.
O The average sprouting percent is predicted to be 82.4.
Hint Helpful Virten on the tinsar itepression tine 1
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