() Interpret the slope. Select the correct choice below and, if necessa Square Footage, x Selling Price ($000s), y O O A. For every additional thousand dollars in selling price, the squa 2211 381.1 (Round to three decimal places as needed.) 3190 376.8 1098 185.2 O B. For every additional square foot, the selling price increases by (Round to three decimal places as needed.) 1930 330,9 3180 632 OC. For a house that is sold for $0, the predicted square footage i (Round to three decimal places as needed.) 2799 374.2 4022 613.6 364.2 O D. For a house that is 0 square feet, the predicted selling price is (Round to three decimal places as needed.) 2129 2700 439.2 1725 300.8 O E. It is not appropriate to interpret the slope. 1819 276 2 (g) Is it reasonable to interpret the y-intercept? Why? Select the corre 3984 716.9 O A. No-a house of square feet is not possible and outside th Print Done
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.
![() Interpret the slope. Select the correct choice below and, if necessa
Square Footage, x
Selling Price ($000s), y O
O A. For every additional thousand dollars in selling price, the squa
(Round to three decimal places as needed.)
2211
381.1
3190
376.8
O B. For every additional square foot, the selling price increases by
(Round to three decimal places as needed.)
1098
185.2
1930
330.9
O C. For a house that is sold for $0, the predicted square footage is
3180
632
(Round to three decimal places as needed.)
2799
374.2
4022
613.6
O D. For a house that is 0 square feet, the predicted selling price is
(Round to three decimal places as needed.)
O E. It is not appropriate to interpret the slope.
2129
364.2
2700
439.2
1725
300.8
1819
276.2
(g) Is it reasonable to interpret the y-intercept? Why? Select the corre
3984
716.9
O A. No-a house of
square feet is not possible and outside th
Print
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![One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certan
region. Complete parts (a) through (h) below.
is Quiz: 5 pts
E Click the icon to view the housing data
Question Help v
(f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
O A. For every additional thousand dollars in selling price, the square footage increases by
(Round to three decimal places as needed.)
O B. For every additional square foot, the selling price increases by thousand dollars, on average.
(Round to three decimal places as needed.)
square feet, on average.
O C. For a house that is sold for $0, the predicted square footage is
(Round to three decimal places as needed.)
O D. For a house that is 0 square feet, the predicted selling price is
(Round to three decimal places as needed.)
O E. It is not appropriate to interpret the slope.
thousand dollars
(9) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in the answer box to complete your choice.
O A. No-a house of square feet is not possible and outside the scope of the model
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