HouseID Age(years) Size(sqft) Bedrooms Price($1,000) 1 7 1580 3 132.0 2 8 1744 3 123.9 3 5 1863 3 159.1 4 7 1824 4 126.0 5 3 1924 4 128.3 6 10 1707 4 145.4 7 5 1898 3 126.1 8 5 2063 4 128.4 9 7 1641 3 147.4 10 7 1524 3 121.5 11 4 2144 3 167.7 12 9 1518 2 109.2 13 8 1645 3 132.6 14 5 2741 4 212.3 15 6 1718 3 111.8 16 7 1713 3 119.6 17 8 2240 4 162.0 18 6 1809 3 145.1 19 3 1588 4 124.4 20 9 1941 3 129.8 21 8 1783 4 127.4 22 6 2186 4 141.8 23 7 2018 4 131.3 24 4 2375 4 164.2 25 7 1801 4 127.9 26 5 2266 3 158.8 27 2 1891 3 131.2 28 6 2514 4 173.3 29 7 1738 3 121.4 30 6 2091 3 170.0 31 7 2495 4 185.6 32 5 1551 3 111.4 33 10 1814 4 134.9 34 9 1822 3 117.1 35 6 2289 4 186.8 36 8 2080 3 141.4 37 9 1758 3 137.6 38 9 2299 3 181.5 39 8 2190 3 139.2 40 8 1671 3 137.6 41 7 1544 3 137.4 42 6 1331 2 93.7 43 6 1386 3 86.5 44 4 2219 4 153.0 45 5 1793 3 129.4 46 8 1812 3 145.5 47 11 1499 3 124.2 48 4 1766 3 134.6 49 3 2060 3 162.5 50 9 1529 3 109.1 51 6 1276 2 97.9 52 7 2086 3 146.8 53 6 1395 2 95.1 54 4 1409 2 116.0 55 8 2009 3 155.3 56 7 1894 4 144.1 57 8 1190 2 88.8 58 5 1811 3 152.6 59 2 1689 3 146.5 60 7 1690 3 136.4 61 6 1685 3 125.2 62 6 1588 3 127.6 63 6 1730 3 143.6 64 5 1951 3 158.8 65 3 2040 3 139.9 66 8 1749 3 141.2 67 6 1111 2 86.7 68 5 1775 4 116.2 69 9 1478 2 100.7 70 10 2125 3 171.8 71 4 1596 3 135.1 72 5 1610 3 139.5 73 4 1724 2 151.4 74 4 1713 3 122.5 75 9 1490 3 115.3 76 10 1881 3 152.4 77 2 1868 3 162.0 78 8 2257 4 163.6 79 9 1614 4 145.3 80 5 1775 3 143.7 81 5 1770 3 129.3 82 2 2213 3 175.1 83 3 1743 3 152.2 84 6 2068 3 162.8 85 9 1705 3 126.7 86 6 1788 4 138.5 87 6 2334 4 180.1 88 5 1579 2 103.0 89 5 1478 2 105.1 90 4 2042 3 167.2 91 8 2263 3 158.8 92 9 1659 3 122.5 93 4 1978 4 131.1 94 4 1598 3 125.2 95 2 2523 4 197.9 96 7 1846 3 143.5 97 8 2292 3 163.2 98 8 1872 3 153.8 99 7 1954 3 146.1 100 5 1679 3 118.4 1). Which predictor variables are statistically significant at the 10% significance level? 2). What is the slope...

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HouseIDAge(years)Size(sqft)BedroomsPrice($1,000)
1715803132.0
2817443123.9
3518633159.1
4718244126.0
5319244128.3
61017074145.4
7518983126.1
8520634128.4
9716413147.4
10715243121.5
11421443167.7
12915182109.2
13816453132.6
14527414212.3
15617183111.8
16717133119.6
17822404162.0
18618093145.1
19315884124.4
20919413129.8
21817834127.4
22621864141.8
23720184131.3
24423754164.2
25718014127.9
26522663158.8
27218913131.2
28625144173.3
29717383121.4
30620913170.0
31724954185.6
32515513111.4
331018144134.9
34918223117.1
35622894186.8
36820803141.4
37917583137.6
38922993181.5
39821903139.2
40816713137.6
41715443137.4
4261331293.7
4361386386.5
44422194153.0
45517933129.4
46818123145.5
471114993124.2
48417663134.6
49320603162.5
50915293109.1
5161276297.9
52720863146.8
5361395295.1
54414092116.0
55820093155.3
56718944144.1
5781190288.8
58518113152.6
59216893146.5
60716903136.4
61616853125.2
62615883127.6
63617303143.6
64519513158.8
65320403139.9
66817493141.2
6761111286.7
68517754116.2
69914782100.7
701021253171.8
71415963135.1
72516103139.5
73417242151.4
74417133122.5
75914903115.3
761018813152.4
77218683162.0
78822574163.6
79916144145.3
80517753143.7
81517703129.3
82222133175.1
83317433152.2
84620683162.8
85917053126.7
86617884138.5
87623344180.1
88515792103.0
89514782105.1
90420423167.2
91822633158.8
92916593122.5
93419784131.1
94415983125.2
95225234197.9
96718463143.5
97822923163.2
98818723153.8
99719543146.1
100516793118.4

1). Which predictor variables are statistically significant atthe 10% significance level?

2). What is the slope and p-value of the bedrooms variable?

3). What percentage of the variability in price is explained bythis model?

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Here the answer to the question Please dont hesitateto give a thumbs up for the answer in case youre satisfied withthe answerHere the regression exercise explained I have performed    See Answer
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