If you wanted to test, using a 5% significance level, whether or not a specific slope coefficient is equal to one, then you should: a. add and subtract 1.96 from the slope and check if that interval includes 1.b. subtract 1 from the estimated coefficient, divide the difference by the standard error, and check if the resulting ratio is larger than 1.96.c. see if the slope coefficient is between 0.95 and 1.05.d. check if the adjusted r squared is close to 1.

B.subtract 1 from the estimated coefficient, divide the difference by the standard error, and check if the resulting ratio is larger than 1.96.

Step-by-step explanation:

Given that you wanted to test, using a 5% significance level, whether or not a specific slope coefficient is equal to one, then you should:

For 95% confi level Z critical =1.96

So we multiply the std error by 1.96 to get margin of error

Using confidence intervals we divided the slope difference by std error and check whether this absolute value is greater than 1.96

Hence option B is right

B.subtract 1 from the estimated coefficient, divide the difference by the standard error, and check if the resulting ratio is larger than 1.96.

answer: the price of one pound cabbage = $ 0.8

the point (10,8) represents that the cost of 10 pounds cabbage is $ 8

step-by-step explanation:

since, here is a proportional relation between the number of pounds of cabbage (x) and the price in dollars (y).

therefore, we can write,

⇒ y = k x

where k is the constant of proportionality.

now, point (5,4) is in the line.

thus, it will satisfies the above equation of line.

⇒ 4 = 5 k

⇒ k = 0.8

thus, the equation of the line is,

y = 0.8 x

a) for x = 1,

y = 0.8

therefore, the cost of one pound of cabbage is 0.8 dollars.

b) in the below graph (10,8) represents that the cost of 10 pounds of cabbage is 8 dollars.

mx+89b(-98)nb

step-by-step explanation: