Would it be appropriate for the real estate agent to use this model to make a prediction about the number of days a house that is price $120 above market value would sit vacant? A. Yes, it would be appropriate because R2 is close to 1, and $120 is close to the given data values B. No, it would not be appropriate becausee $120 is an interpolation value C. Yes, it would be appropriate because this situation should be modeled by an increasing linear function D. No, it would not be appropriate because r2 is not close to 1

The process of moving from theory to data, where the data would test the theory, is known as.......?

Can you answer all the parts to this question

In a data set with 25 scores, if the value 16 occurs 12 times, what is its relative frequency?

Scenario: Album Sales: A study was done to see whether getting radio airtime and spending money on advertisements accurately predicts the number of album copies sold. A random sample of 200 artists’ albums were tracked on the number of times their songs play on the central radio station, how much money (in thousands) they spent on advertisements, as well as the number (in thousands) of album copies were sold. A record company wanted to determine if there was a positive relationship between album sales and the other two variables (money spent on advertisements and number of albums sold)   What is the Null and alternative hypotheses (based on context of study) in symbols and words:

d. If the data is annual salary in the U.S and the population is all legally employed people in the U.S., the z-scores of people who make minimum wage would be O zero O negative O positive

1. Learn by Doing (page 68): In this activity we have data from 21 female college students. Forearm length in inches is the explanatory variable. Height in inches is the response variable. The line is a good summary of the linear pattern in the data. a. Based on the graph of this line, which is the best prediction of the height of a woman with a forearm of 11 inches? i. 64.5 inches ii. 68 inches iii. 68.75 inches iv. just under 72 inches 74 72 70 68 66 64 62- 60 b. The equation of this line is: Predicted height = 39 + 2.7 * forearm length. Use the equation of the line to predict the height of a woman with a 10-inch forearm. 58- 56 %3D 10.5 forearm (inches) 8.0 8.5 9.0 9.5 10.0 11.0 11.5 12.0 12 height (inches)

Referring to Scenario 13-11, which of the following is the correct interpretation for the slope coefficient?a) For each decrease of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.b) For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $3.7297 thousands.c) For each decrease of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.d) For each increase of 1 thousand dollars in expected revenue, the expected number of downloads is estimated to increase by 3.7297 thousands.