value 10.00 points A consumer analyst collected the following data on the screen
ID: 2948478 • Letter: V
Question
value 10.00 points A consumer analyst collected the following data on the screen sizes of popular LCD televisions sold recently at a large retaller 54 $2,792.00 Samsung392.278.50 Samsung37 1.394.50 321,948.00 55 1,600.50 Samsung44 1,488.00 Samsung50 2,634.50 40 1,255.50 41 2,875.50 40 2,591.50 53 2,881.50 Samsung42 1.202.50 44 2,972.00 52 1,867.00 39 2,863.00 Samsung481,726.50 43 1,052.50 Samsung 55 2267.50 361,165.50 35 2,920.00 441.405.50 47 2,717.00 Sony Sharp urn dy Sharp Sharp Sony Sharp Sharp Sharp Sony ding 1 32 1,202.50 Click here for the Excel Data Fle a Does there appear lo be a linear relationship between tha screen size and the price? (Round your answer to 2 decimal places.) " The correlation of Screen and Price is acob ocx 0.23 b. Which variable is the dependent" vanable? c use statisical sotware to cetermine the regression eqvation (Negative 1. amounts should be indidated by a mibus sign Round your answere to the nearest whole number,) 1025+ eading Interpret tne value of the sope in the negression equaten. For each inch increase screar size,the prce increases sExplanation / Answer
we will use minitab software to make the answer
a)
Pearson correlation of price and screen = 0.240 (=0.24 not 0.23)
b) price
c)
The regression equation is
price = 1025 + 23.5 screen
c2) for each increase in screen size the price increases by 23.5 on average.
d)
Term Coef SE Coef T P
Constant 767.453 1013.16 0.75748 0.458
screen 29.166 22.98 1.26944 0.220
manufacture
sony 173.502 224.16 0.77402 0.448
shape 50.550 214.01 0.23620 0.816
price=767.453+29.166*screen+50.55*shape+173.502*sony
e)
Coefficients
Term T P
Constant 0.75748 0.458
screen 1.26944 0.220
manufacture
sony 173.502 224.16 0.77402 0.448
shape 50.550 214.01 0.23620 0.816
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