An agent for a real estate company wanted to predict the monthly rent for apartm
ID: 3262254 • Letter: A
Question
An agent for a real estate company wanted to predict the monthly rent for apartments based on the size of the apartment. The data for a sample of 25 apartments is available below. Perform a t test for the slope to determine if a significant linear relationship between the size and the rent exists.
a. At the 0.05 level of significance, is there evidence of a linear relationship between the size of the apartment and the monthly rent?
b. Construct a 95% confidence interval estimate of the population slope, 1.
Size_(sq._ft) Rent_($)
840 1925
1440 2600
1085 2200
1222 2525
718 1975
1495 2700
1126 2675
736 1925
710 1900
956 2175
1090 2375
1295 2675
1975 3325
1379 2825
1175 2400
1215 2475
1235 2100
1259 2725
1150 2225
896 2150
1371 2600
1030 2675
765 2200
1010 1800
1200 2775
a. Determine the hypotheses for the test. (Choose the correct answer below)
A. H0: 1 =0
H1: 1 0
B. H0: 1 0
H1: 1 <0
C. H0: 1 0
H1: 1 >0
D. H0: 0 =0
H1: 0 0
Find the test statistic. (Fill in the Blanks)
tSTAT = ___? (Round to two decimal places as needed.)
What is the p-value?
p-value = ____?(Round to three decimal places as needed.)
Reach a decision. (Choose Below)
(Do not reject, Reject) H0. There is (sufficient, insufficient) evidence to conclude that there is a linear relationship between the size of the apartment and the monthly rent.
(Fill in the Blanks)
b. The 95% confidence interval is ___? 1 ___?. (Round to four decimal places as needed.)
Explanation / Answer
a)
option
A. H0: 1 =0
H1: 1 0 is correct
b) tStat = 7.5328844
p-value = 0.0000001185
since p-value is less than 0.05
we reject the null and conclude that There is sufficient, evidence to conclude that there is a linear relationship between the size of the apartment and the monthly rent.
b) The 95% confidence interval is 0.78623924618 1 . 1.38155120
0.7862 <1 . 1.3816
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Size_(sq._ft) Rent_($) 840 1925 1440 2600 1085 2200 1222 2525 718 1975 1495 2700 1126 2675 736 1925 710 1900 956 2175 1090 2375 1295 2675 1975 3325 1379 2825 1175 2400 1215 2475 1235 2100 1259 2725 1150 2225 896 2150 1371 2600 1030 2675 765 2200 1010 1800 1200 2775Related Questions
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