5// C-1. What is d- test statistics value? ( Round your answer to 3 decimal places) d- test statistics _________ C-2. What is d- critical value?( Round your answer to 2 decimal places) Lower d-critical value ________ Upper d-critical value ________ C-3. What is the result of hypothesis? Result of hy
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.
![Using the same time series data and trend forecast model, respond to the following items.
Period
Sales
$1,001
1,129
1
3.
841
1,044
1,012
5.
703
682
712
9
646
10
686
11
909
12
469
13
566
14
488
15
688
16
675
17
303
18
381
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b. Test for autocorrelation using the 05 significance level. (Negative amount should be indicated by a minus sign. Round your
answers to 3 decimal places.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffe104828-4286-47bf-b6c7-a0ca86a34729%2F15a7cf83-6766-4499-ae92-6881e29e09d6%2Fhl2rhrm_processed.jpeg&w=3840&q=75)
![Period
Sales
Forecast
Residuals
Residuals
Difference
Residuals
1
1001
1129
841
4
1044
1012
703
682
8
712
646
10
686
11
909
12
469
13
566
14
488
15
688
16
675
17
303
18
381
Column sums
0.00
0.00
d=](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffe104828-4286-47bf-b6c7-a0ca86a34729%2F15a7cf83-6766-4499-ae92-6881e29e09d6%2F54k2m2q_processed.jpeg&w=3840&q=75)
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