Consider the following data: -4 -7.52 0 0.84 -3 -5.48 2 5.42 3 7.64 Suppose you wish to fit the model Y; = Bo + B1i + Ei, where e; ~ N(0, o²) independently for i = 1,2,3, 4, 5. Calculate the estimate of Bo to 4 decimal places.

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Consider the following data:
X
y
-4 -7.52
0 0.84
-3 -5.48
2 5.42
3 7.64
Suppose you wish to fit the model
Y; = Bo + B1a; + €i,
where e ~ N(0, o²) independently for i = 1,2,3, 4, 5. Calculate the estimate of Bo to 4 decimal
places.
Suppose you have data (r1, Y1),(x2, Y2),...(¤n, Yn) that you want to model. Select all the
following which are considered linear models.
Marking: canvas marks as follows:
If there are k correct answers, and you select z answers of which
X1 are correct, and X2 are incorrect, then Your mark is
X1
X2
k
k
O Y; = Bo + Bix; + €i-
O Y; = Bo + B1z? + €i.
O Y; = Bgi + Ei-
Bzi
O Y; = Bo + B1 exp(r;)+Ei.
Transcribed Image Text:Consider the following data: X y -4 -7.52 0 0.84 -3 -5.48 2 5.42 3 7.64 Suppose you wish to fit the model Y; = Bo + B1a; + €i, where e ~ N(0, o²) independently for i = 1,2,3, 4, 5. Calculate the estimate of Bo to 4 decimal places. Suppose you have data (r1, Y1),(x2, Y2),...(¤n, Yn) that you want to model. Select all the following which are considered linear models. Marking: canvas marks as follows: If there are k correct answers, and you select z answers of which X1 are correct, and X2 are incorrect, then Your mark is X1 X2 k k O Y; = Bo + Bix; + €i- O Y; = Bo + B1z? + €i. O Y; = Bgi + Ei- Bzi O Y; = Bo + B1 exp(r;)+Ei.
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