There seems to be a clear relationship between the prevailing mortgage interest rates x and the number of new house being built per month in a midwestern city y over a period of 18 months. A scatterplot of the data collected shows th the linear model is appropriate. The equation of the least-squares regression line is number of new houses = 672.89 – (30.65 × interest rate) and r2 = 0.49. The association between the interest rate and the number of new houses is: O positive. unknown. zero. negative

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There seems to be a clear relationship between the prevailing mortgage interest rates x and the number of new houses
being built per month in a midwestern city y over a period of 18 months. A scatterplot of the data collected shows that
the linear model is appropriate. The equation of the least-squares regression line is number of new houses
= 672.89 – (30.65 × interest rate) and r? = 0.49. The association between the interest rate and the number of new
houses is:
O positive.
unknown.
zero.
negative.
Transcribed Image Text:There seems to be a clear relationship between the prevailing mortgage interest rates x and the number of new houses being built per month in a midwestern city y over a period of 18 months. A scatterplot of the data collected shows that the linear model is appropriate. The equation of the least-squares regression line is number of new houses = 672.89 – (30.65 × interest rate) and r? = 0.49. The association between the interest rate and the number of new houses is: O positive. unknown. zero. negative.
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