The answer to the question is (B) least preferred coworker scale.
Fiedler uses this for his contingency leadership model, which describes how the best leader is the ones who showcased the best behaviors to manage the circumstances that he or she finds themselves in.
The LPC (least-preferred coworker scale) <u>measures an individual’s leadership orientation, where high scores have high human relations orientation and low scorers have high task orientation.</u>
Answer:
The correct answer is option C.
Explanation:
When we save we deposit it in the bank and do not loan it out directly. But the bank keeps a certain portion of it and lends out the rest to those who need credit. So, the savings that we deposit in the bank become the basis of credit creation.
That is why the statement about saving and lending given in the question is incorrect.
Answer:
Please see below
Explanation:
Jan 2.
Dr Cash $13,100
Cr Owner equity $13,100
(Being owner's capital contribution to the business in form of cash)
Jan 3.
Dr Vehicle $3,930
Cr Cash. $3,930
(To record the purchase of used car in form of cash)
Jan 9
Dr Supplies. $655
Cr. Accounts payable $655
(To record supplies purchased on account )
Jan 16
Dr Account receivable $3,144
Cr Revenue $3,144
(Being the record of revenue earned on credit)
Jan 16
Dr Advertising expenses $459
Cr Cash $459
(Being the record of advertising expenses paid in cash)
Jan 20
Dr Cash. $917
Cr Account receivable $917
(Being the record of partial collection receivables)
Jan 23
Dr Account payables $393
Cr Cash $393
(Being the record of payment made to creditors)
Jan 28
Dr. Owner equity $1,310
Cr. Cash $1,310
(To record owner's withdrawal of capital in form of cash)
Answer:
$24135.72
Explanation:
Given pmt 320, r 9% n 5 years
This amount is paid monthly s\and there are 12 months in a year
r = 9%/12 =0.75%
n = 5* 12 =60
We will use the future value of annuity
FV = pmt *[(1+r)^n - 1/r)]
= 320 *[(1+0.0075)^60-1/0.0075
=$24135.72
Answer:
Factor analysis
Explanation:
The factor analysis refers to the analysis in which the data of many variables is to be segregated into a few variables which become easily understandable and manageable
But in the given case it asked for the term that is not a supervised learning technique so as per the given options the linear regression, decision tree, neural networks are included
So the correct option is Factor analysis
