2(a)
2(b)
It is seen that as x($) increases, y($) also increases. Thus it can be said that there is a positive correlation.
2(c)
The least square line is represented as
y = a + bx
where a=intercept on y-axis, b=slope
From the normal equations it is obtained that a = - b => b = (-a)/
From the problem it is given that a=7.7, =44.8, =126.3 => b = (126.3 - 7.7)/44.8 = 2.65
Therefore we get the least square line as
y = 7.7 + 2.65 x
2(d)
We get the least square line as y = 7.7 + 2.65 x
Now x = $35
Therefore y = $(7.7 + 2.65*35) = $100.45 $100.40
The least square line predicts the selling price of a particular item to be $100.40 when to cost to make it is $35.
2. An accountant for a small manufacturing plan t collected the following random sample to study...
1) A: List all possible outcomes (the sample space) for the tree diagram below B: Calculate the number of all possible outcomes: bb 2) Based on the tree diagram below, how many ways can a coin be tossed four times and get exactly 3 tails? Hнн HHT HHHH HHHT HHTH H HTT HTHH HTHT HTTH HTTT THH T THT TTHS THHH THHT THTH THTT TTHH ΤΤΗΤ ΤΤΤΗ ΤΤΤΤ ΤΤΤ 3) How many 12-letter "words" (real or made-up) can be made...
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in the city were reassessed at full value one year prior to the study. The results are in House 1. (Hint: First, determine which are the independent and...