For the data set shown? below, complete parts ?(a) through ?(d)
below
x |
20 |
30 |
40 |
50 |
60 |
|
y |
102 |
97 |
89 |
85 72 |
(a) Use technology to find the estimates of ?0 and ?1.
(b) Use technology to compute the standard? error, the point estimate for ?.
?(c) Assuming the residuals are normally? distributed, use technology to determine s Subscript b 1 Baseline .
(d) Assuming the residuals are normally? distributed, test
Upper H 0 : ?1=0 versus Upper H 1: ?1?0 at the??alpha?=0.05 level of significance. Use the? P-value approach.
(E)What is the hypothesis?
For the data set shown? below, complete parts ?(a) through ?(d) below x 20 30 40...
For the data set shown below, complete parts (a) through (d) below. x 3 4 5 7 8 y 5 7 6 13 14 (a) Find the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals negative 1.360 (Round to three decimal places as needed.) beta 1almost equalsb 1equals 1.919 (Round to three decimal places as needed.) (b) Compute the standard error, the point estimate for sigma. s Subscript eequals 1.4929 (Round to four decimal places as needed.)...
For the data set shown below, complete parts (a) through (d) below x 20 30 40 50 60e yi 98 95 93 83 70 (a) Use technology to find the estimates of Po and β1 Po b,-□ (Round to two decimal places as needed.) β1 ~ b1-D (Round to two decimal places as needed) (b) Use technology to compute the standard error, the point estimate for σ. Round to four decimal places as needed) (c) Assuming the residuals are normally...
For the data set shown below, complete parts (a) through (d) below. x 20 30 40 50 60 y 98 95 89 83 70 (a) Use technology to find the estimates of Bo and B. Bobo = (Round to two decimal places as needed.) B1b1 = (Round to two decimal places as needed.) (b) Use technology to compute the standard error, the point estimate for Se = (Round to four decimal places as needed.) (c) Assuming the residuals are normally...
I need help with - d) Assuming the residuals are normally distributed, test Ho : β1=0 versus H1 : β1 ≠ 0 at the α = 0.05 level of significance - at the bottom of the page. Thank you! For the data set shown below. x y 20 98 30 95 40 89 50 85 60 72 (a) Use technology to find the estimates of β0 and β1. β0 ≈ b0= 112.6 (Round to two decimal places as needed.) β1...
For the data set shown below, complete parts (a) through (d) below. x y 20 98 30 95 40 89 50 85 60 72 (a) Use technology to find the estimates of Β0 and Β1 . Β0 ≈ b0 =__?__ (Round to two decimal places as needed.) Β1 ≈ b1 =__?__ (Round to two decimal places as needed.)
For the data set shown below, complete parts (a) through (d) below 71 20 3 140 60 $2 y 98 93 89 85 72 (a) Use technology to find the estimates of Bo and p1 Bo(Round to two decimal places as needed.) P1(Round to two decimal places as needed.)
B) (b) Use technology to compute the standard error, the point estimate for σ. se = ??? (Round to four decimal places as needed.) (c) Assuming the residuals are normally distributed, use technology to determine sb . 1 sb1= ??? (Round to four decimal places as needed.) (d) Assuming the residuals are normally distributed, test H0: β1 = 0 versus H1: β1 ≠ 0 α = 0.05 level of significance. Use the P-value approach. Determine the P-value for this hypothesis...
For the data set shown below, complete parts (a) through (d) below X 20 30 40 y 98 95 91 50 60 85 68 (a) Use technology to find the estimates of Bo and B Pobo (Round to two decimal places as needed.) (Round to two decimal places as needed.)
For the data set shown below, complete parts (a) through (d) below. x3 4 5 7 89 y 5 6 8 13 15 (a) Find the estimates of Bo and by B, by = - 1.965 (Round to three decimal places as needed.) B, by = 2.105 (Round to three decimal places as needed.) (b) Compute the standard error, the point estimate for o. se = 0.5807 (Round to four decimal places as needed.) (c) Assuming the residuals are normally...
Assume that the differences are normally distributed. Complete parts (a) through (d) below. Observation 1 2 3 4 5 6 7 8 Upper X Subscript iXi 52.152.1 50.750.7 51.651.6 47.347.3 45.045.0 51.751.7 46.646.6 46.346.3 Upper Y Subscript iYi 54.454.4 52.552.5 54.554.5 52.152.1 46.746.7 53.953.9 50.550.5 48.248.2 (a) Determine d Subscript i Baseline equals Upper X Subscript i Baseline minus Upper Y Subscript idi=Xi−Yi for each pair of data. Observation 1 2 3 4 5 6 7 8 di nothing nothing...