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 certain region. Complete parts (a) through (h) below. E Click the icon to view the housing data. (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) (1) 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 square feet, on average. (Round to three decimal places as needed.) 1 Data Table O B. For every additional square foot, the selling price increases by 0.159 thousand dollars, on average. (Round to three decimal places as needed.) TT C. For a house that is sold for $0, the predicted square footage is Square Footage, x Selling Price ($000s), y D (Round to three decimal places as needed.) 2225 383.2 O D. For a house that is 0 square feet, the predicted selling price is thousand dollars. (Round to three decimal places as needed.) 3276 390.1 1083 182.9 O E. It is not appropriate to interpret the slope. 1940 332.4 3210 635.7 (g) 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 . 2723 362.4 O A. No-a house of | square feet is not possible. 3922 598 2230 380.1 (Type an integer or a simplified fraction.) 2534 413.3 O B. No-a house of | square feet is not possible and outside the scope of the model. 1739 303.1 (Type an integer or a simplified fraction.) 1830 277.8 O C. No-a house of (Type an integer or a simplified fraction.) square feet is outside the scope of the model 3957 713.1 O D. Yes-a house of square feet is possible and within the scope of the model. Print Done (Type an integer or a simplified fraction.) O E. More information about the houses is necessary before deciding.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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