5:10 PM bbcsulb.desire2learn.com .oooo AT&T; Wi-Fi The residual is defined as th

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5:10 PM bbcsulb.desire2learn.com .oooo AT&T; Wi-Fi The residual is defined as the difference between: a, the actual value of y and the estimated value ofy b the actual value of x and the estimated value of c. the actual value of y and the estimated value of x d. the actuall value of x and the estimated value ofy If an estimated regression line has a y-intercept of 10 and a slope of 4, then when x = 2 the ACTUAL value ofy is: b 15 e. 14 Consider the following data values of variables x and y a. Determine the least squares regression line b. Find the predicted value ofy for x 9. e. What does the value of the slope of the regression line tell you? In the randomized block design ANOVA, the sum of squares for error equals: a. SS(Total) SST b. SS(Total) SSB c, SS(Total) SST SSB d. None of these choices. Which of the following statements is false for an F-distribution? a. Variables that are F-distributed range from 0 to b. The exact shape of the distribution is determined by two numbers of degroes of freedomm cThr degrees of freedom Sor the numerator can be larger than, smaller áan. or cqual to the degrees of freedom for the denominator d A of these choices are true. An investor is considering two types of investment. She is quite satisfied that the expected profit margin on Investment 1 is higher than the expected profit margin on Investment 2. However, she is quite concerned that the risk associated with Investment 1 is higher than that of Investment 2. To help make her decision, she randomly selects seven monthly profit margins on investment 1 and ten monthly profit margins on investment 2 She finds that the sample variances of Investments 1 and 2 are 225 and 118, respectively Can she infer at the 5% significance level that the population variance of investment 1 exceeds that of investment 2?

Explanation / Answer

1 ) The residual is defined as the difference between

a) The actual value of y and estimated value of y

2) Y = a + b * X , b = slope , a = Intercept

Y = 18

3 ) a ) The least square regression line is , Y = a + b * X , where , a = Intercept , b = Slope

Use excel function , =INTERCEPT ( selecy y values , select x value ) to find Intercept

Use excel function = SLOPE ( select y values, select x values ) to find slope .

a = 0.9340 , b = 2.63711

Y = 0.9340 + 2.63711 * X

b ) When X = 9 then Y = 0.9340 + 2.63711 * 9 = 24.6680

c ) The slope ( 2.63711 ) tells us if the number of x changes by 1 then we expect the substainble y to change by 2.63711.

4 ) The randomized block design, the sum of square for error formula is given by ,

SSE = SS(Total ) - SST - SSB

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