Answer Happy

The following MINITAB outputs were generated
for a multiple linear regression analysis. (Use the exact values
found in the MINITAB output.)
What model has been fitted to the data?
E(y)
= 𝛽0 + 𝛽1x1 + 𝛽2x2 + 𝛽3x22
E(y)
= 𝛽0 + 𝛽1x1 + 𝛽2x2 + 𝛽3x12
E(y)
= 𝛽0 + 𝛽1x1 + 𝛽2x2 + 𝛽3x1x2
E(y)
= 𝛽0 + 𝛽1x1 + 𝛽2x2 + 𝛽3x3
E(y)
= 𝛽0 + 𝛽1x + 𝛽2x2 + 𝛽3x3
What is the least-squares prediction equation?
ŷ =
Fill in the blanks in the ANOVA table. (Round
your F statistic to two decimal places.)
State the null and alternative hypotheses.
H0: 𝛽1 = 𝛽2 = 𝛽3 =
0
Ha: At least one
of 𝛽1, 𝛽2, 𝛽3 is
not
0.H0: 𝛽1 < 𝛽2 < 𝛽3
Ha: 𝛽1 ≠ 𝛽2 ≠ 𝛽3 H0:
At least one
of 𝛽1, 𝛽2, 𝛽3 is
not 0.
Ha: 𝛽1 = 𝛽2 = 𝛽3 =
0H0: 𝛽1 = 𝛽2 = 𝛽3
Ha: 𝛽1 ≠ 𝛽2 ≠ 𝛽3H0:
At least one
of 𝛽1, 𝛽2, 𝛽3 is
not 0.
Ha: 𝛽1 > 𝛽2 > 𝛽3 >
0
Find the test statistic. (Round your answer to two decimal
places.)
F =